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77 Best universities for Data Science in France

Updated: February 29, 2024

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Below is a list of best universities in France ranked based on their research performance in Data Science. A graph of 417K citations received by 16.9K academic papers made by 77 universities in France was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. Claude Bernard University Lyon 1

For Data Science

2. Pierre and Marie Curie University

3. Paul Sabatier University - Toulouse III

4. University of Montpellier

5. Paris-Sud University

6. Grenoble Alpes University

7. University of Aix-Marseilles

8. University of Lorraine

9. University of Strasbourg

10. University of Bordeaux

11. University of Picardie Jules Verne

12. University of Paris 1 Pantheon-Sorbonne

13. University of Lille

14. National Graduate School of Engineering, Paris

15. Polytechnic School

16. Paris Dauphine University

17. University of Nice-Sophia Antipolis

18. Normal Superior School of Lyon

19. University of Rheims Champagne-Ardenne

20. TELECOM ParisTech

21. University of Rouen Normandie

22. Grenoble Institute of Technology

23. University of Nantes

24. National Institute for Applied Sciences, Lyon

25. Eurecom

26. Paris Descartes University

27. University of Burgundy

28. Paris Diderot University

29. National Polytechnic Institute of Toulouse

30. Versailles Saint-Quentin-en-Yvelines University

31. Paris Institute of Technology for Life, Food and Environmental Sciences

32. Paris Institute of Political Studies

33. School for Advanced Studies in the Social Sciences

34. University of Technology of Compiegne

35. Francois Rabelais University

36. University of Franche-Comte

37. SKEMA Business School

38. National Institute for Applied Sciences, Rouen

39. Toulouse Business School

40. ESSEC Business School Paris

41. University of Western Brittany

42. Paris-Est Creteil Val-de-Marne University

43. University of La Rochelle

44. Normal Superior School

45. University of Savoy Mont Blanc

46. University of Caen Normandy

47. University of Poitiers

48. National Engineering School of Mechanical and Aeronautical Engineering

49. National Advanced School of Engineering

50. University of Toulon

51. Catholic University of Lyon

52. University of Paris 8

53. National School of Bridges and Roads

54. Central School of Nantes

55. Montpellier SupAgro

56. University of Technology of Troyes

57. University of Pau and Pays de l'Adour

58. University of Angers

59. Paris West University Nanterre La Defense

60. HEC School of Management

61. EMLYON Business School

62. University of Orleans

63. University of Clermont Auvergne

64. University of Evry-Val d'Essonne

65. Polytechnic University of Hauts-de-France

66. New Sorbonne University - Paris III

67. CentraleSupelec

68. EHESP School of Public Health

69. Audencia Nantes School of Management

70. Grenoble Graduate School of Business

71. National Institute for Applied Sciences, Strasbourg

72. Kedge Business School

73. Jean Monnet University

74. University of Southern Brittany

75. Central School of Lille

76. University of Avignon and the Vaucluse

77. Paul Valery University, Montpellier 3

The best cities to study Data Science in France based on the number of universities and their ranks are Villeurbanne , Paris , Toulouse , and Montpellier .

Computer Science subfields in France

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Data Science Program

The production and collection of vast amounts of data, combined with advances in storage, analysis, and processing capacities, have opened up unprecedented scientific perspectives across numerous disciplines, such as life sciences, cognitive sciences, astrophysics, and quantitative sociology.

The DATA programme brings together all the educational opportunities in AI and at the intersections of other scientific disciplines within PSL University, offered in various formats (dedicated courses, intensive weeks, etc.), and is designed for all audiences: undergraduate, master's, and doctoral students, professionals, and academic staff.

Multidisciplinary Degrees in AI and Data Science

Innovative programmes at the intersection of artificial intelligence and other fields.

In addition to its core disciplines in AI (mathematics and computer science), PSL University is developing innovative programmes at the intersection of artificial intelligence and other fields (humanities, health, cognitive sciences), thereby providing avenues to fully harness the potential of data science.

For students majoring in other subjects

If you are following a master's degree in another subject than mathematics and computer science, and if you want to include AI in your curriculum, the university-wide Data Science program includes a two-step training:

• Two-week intensive preparation in order to learn the basics of AI and to equip you with enough background to follow several MASH and IASD Masters' courses
• Intensive weeks on AI at the interfaces

Two pre-sessional weeks are offered. These serve as mandatory prerequisites for the certificate (unless the student can demonstrate equivalent prior learning in their previous studies).

• Week 1 – Mathematical and Computing Fundamentals (3 ECTS) | The mathematical and computing foundations for data science. This week is delivered asynchronously.
• Week 2 – Machine Learning and Databases (3 ECTS) | This week is delivered in person.

The 2024 Programme:

• Week 1 – Mathematical and Computing Fundamentals (3 ECTS) : Available on the Moodle platform from mid-August 2024. Further information will be provided.

Registration deadline : Friday, 19 July 2024, 12:00 PM.

• Week 2 – Machine Learning and Databases (3 ECTS) : This week will take place in person from Wednesday, 28 August to Tuesday, 3 September 2024, from 9:00 AM to 5:30 PM at L'Estrapade, 16 bis rue de l'Estrapade, 75005 Paris.

2024 Assessment:

Separate assessments will be conducted for the two weeks:

• Week 1 : 05/09/2024, from 5:00 PM to 6:00 PM online.
• Week 2 : 06/09/2024, from 5:00 PM to 6:00 PM online.

The DATA Intensive Weeks are PSL Weeks that offer a scientific and technical immersion in AI at the intersection of another discipline. 2 ECTS credits are awarded upon completion of each week. The detailed programme and modalities are outlined on the PSL Weeks website.

Semester 1: 25 to 29 November 2024:

• Ethics and Artificial Intelligence
• NLP for Social Sciences
• Toward AI Sustainability: Low-Level Optimisation for High Impact
• Statistical Physics and Machine Learning
• Neuro and Bio-Robotics: Senses and Perception
• Explainable and Interpretable Artificial Intelligence
• Image Analysis: From Theory to Practice

Semester 2: 3 to 7 March 2025:

• AI for Economics and Finance
• Data Mining and Modelling for Behavioural Sciences and Beyond
• Digital Humanities Meet Artificial Intelligence
• Machine Learning for Physics and Engineering
• Large-Scale Machine Learning

COFUND: Artificial Intelligence for the Sciences (AI4theSciences)

Artificial Intelligence for the Sciences (AI4theSciences) is a co-funded programme offering 26 doctoral scholarships, launched by PSL in 2020 for a duration of six years. It is supported by the highly selective European research funding programme Horizon 2020 (Marie Skłodowska-Curie Actions-COFUND), which co-finances these scholarships.

Resolutely international in scope, this unique and structuring project aims to create a research community comprising multiple laboratories and institutions within PSL, joined by approximately ten private and public partners. AI4theSciences is one of PSL's initiatives that contributes to strengthening PSL’s research on a critical issue of our century. It benefits from a particularly useful and evolving ecosystem for the doctoral candidates in the programme and, more broadly, for the PSL research community.

All disciplines are eligible for co-funding (e.g., physics, chemistry, history, economics) provided that the doctoral research involves techniques in artificial intelligence or big data processing. In addition to discipline-specific training for each doctoral candidate, a dedicated programme of training and events will be established, including initial training on AI/big data, seminars, and conferences. Each doctoral candidate will benefit from dual supervision, comprising a PSL thesis supervisor who is a specialist in their field, and a co-supervisor who is an expert in artificial intelligence or big data techniques (potentially from a laboratory outside PSL or a private partner).

Launched in 2020, AI4theSciences is planned for a duration of six years, with three doctoral intakes in September 2021, September 2022, and October 2023.

Alexandre Allauzen (ESPCI Paris - PSL)

[email protected]

(For PSL students)

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5 Best Universities to Study Data Science in France

France is among the top ten best countries to study Data Science because of its high-quality education and world-class teaching and learning facilities. Education in France, however, may be pretty expensive for international students. Non-EU/EEA students may also have an issue with visa requirements. Luckily, several universities in the country issue certificates or diplomas to part-time international students taking online courses.

The demand for globally competent data scientists increases with the rapid rise in available data in various fields, such as computer engineering, artificial intelligence, economics, and more. Data Science-related prospective careers available after graduation are among the most lucrative in today’s economy, increasing the number of students interested in the program.

As the world inches closer to more advanced technologies and society without any signs of backing down, many universities in France are investing in Data Science programs. Although the term Data Science is vague, French universities offer clear goals and course outlines, and relevant company internships to help students find a clear path to their future careers.

Top Schools Offering Data Science in France

1. école polytechnique.

• Study Program
• Degree/s Offered: Bachelor’s, Master’s, Ph.D.

Founded in 1794, École Polytechnique (L’X) is a top university for data science in France and a world-class French institution that has produced numerous renowned graduates, including three French Presidents, several economic leaders, and three Nobel Laureates. It consistently ranks among the top 2 best institutions in the country according to world rankings. L’X currently has 3,600 students—36% of whom come from 70 countries outside France. Roughly 40% of the academic staff also come from abroad.

The Bachelor’s Degree of the program lasts three years, and Non-EU students have to pay €16,800 per year. In their second and third years, students must select a double-major course in addition to Mathematics: Physics, Economics, or Computer Science. For the two-year Master’s Degree, students may choose among eight multidisciplinary programs . All programs are taught in English.

They may also pursue a five-year Ph.D. program , which can grant them a Master in Science degree after the first two years that include an intensive research internship. They may then earn a Ph.D. degree after the last three years. Outstanding Ph.D. applicants may receive an €8,000 scholarship.

2. EPITA School of Engineering and Computer Science

• Degree/s Offered: Bachelor’s, Master’s

EPITA is one of the best data science schools in France. It was founded in 1984 and managed to climb up to a good spot in national rankings in less than 40 years. The school attracts international students with its international courses and English-taught programs. EPITA also offers summer language courses in French for non-native students.

The International Bachelor’s Degree is divided into six semesters that collectively last three years, making up 180 ECTS. The program is designed to prepare students to enter the global market after graduation. It is shown by the school’s high graduate employment prospects, employment rate, and annual gross salary.

Students may then pursue an English-taught Master’s Degree in any of the following fields: Computer Science, Computer Engineering, Artificial Intelligence Systems, or Artificial Intelligence for Marketing Strategy. The Master’s Degree programs include a 6-month in-company internship to help students acquire real-world skills.

3. CentraleSupélec

• Degree/s Offered: Master’s

CentraleSupélec is an excellent institution for data science in France that officially opened in 2015, but its roots date back to the 19 th century when two institutions—Central School Paris (1829) and Higher School of Electricity (1894)—were opened to help France take an active role in the Industrial Era. Currently, French and international university rankings put the school among the top institutions.

The Master’s in Science program is divided into three periods. The first and second periods (P1 and P2) last eight to ten months, while the third (P3) lasts four to six months. P1 includes Refresher and Core Courses held at either CentraleSupélec Saclay Campus or ESSEC France Campus.

Students can take the Major in Data Science program by choosing at least four elective courses dedicated to the major for P2. Classes for this major are conducted at the CentraleSupélec Saclay Campus in France. The last period is for the internship and the completion of the thesis.

4. EDC Paris Business School

EDC is a private institution and one of the best schools in France for data science founded in 1950. It became part of the Planeta Group in 2017, making it part of an extensive network of learners in three continents. The school has three campuses in France and another three abroad: Spain, Switzerland, and Morocco.

The school offers an English-taught Master of Science in Data Science and Business Analysis program with 120 ECTS in 24 months. Incoming students entering during the Fall Semester (September) must pay €26,500 annually. Those starting in spring must pay €13,000 in March and €15,900 in September.

The program aims to equip the students with data analysis and management skills they can use in the business sector. Graduates can gain competencies in four data science fields: Information Systems & Information Technology, Mathematics & Statistics, Business & Areas of Expertise, and Communication & Impact. With these skills, they can select from a wide range of prospective careers, such as Data Analyst, Data Consultant, or Business Intelligence Consultant.

5. Data ScienceTech Institute

Data ScienceTech Institute (DSTI) is a pretty young school that opened in 2015 and is considered as one of the best institutions for data science in France. It has two campuses: Sophia-Antipolis and Paris. Despite being young, the institute boasts a 100% employment rate among its graduates within six months after their internship. The number of students also grows by 15% annually.

The institute offers three Applied Master’s Degree programs related to Data Science: Data Analytics, Data Science & Artificial Intelligence, and Data Engineering for Artificial Intelligence. DSTI allows international students to select from three study setups: on-campus, off-campus, or SPOC—where students can study anywhere at their own pace.

The tuition fees for international students vary depending on the program and the setup. The Data Analytics program ranges from €10,500 to €14,200. Tuition fees for the other two majors range from €12,500 to €16,950, with the off-campus setup being the cheapest.

We hope that this article on the Best Universities for Data Science in France was helpful. Make sure to also check out the Available Data Science Programs for International Students!

About the Author: Hyun Lee

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PhD – Doctorat

Doctorat en économie, statistique et informatique.

L’ENSAI est habilitée à co-délivrer le diplôme de doctorat dans le cadre de l’école doctorale MATISSE (Mathématiques, Télécommunication, Informatique, Signal, Systèmes Électroniques).

Les chercheurs de l’ENSAI peuvent assurer la direction ou l’encadrement doctoral sur des thématiques diverses en économie, statistique et informatique : big data, data science, machine learning…

L’école doctorale MATISSE constitue la plus importante école doctorale de l’Université Bretagne Loire en termes de doctorants et de thèses soutenues chaque année. Elle regroupe notamment l’ Université de Rennes , l’ Université de Rennes 2 , l’ INSA Rennes , CentraleSupélec et l’ Ecole Normale Supérieure de Rennes .

L’ENSAI a par ailleurs le statut de partenaire de l’école doctorale EDGE (Sciences économiques et sciences de gestion).

Doctorants (co-)encadrés à l’ENSAI

Post-doctorants (co-)encadrés à l’ENSAI

Historique doctorants

Valentin PATILEA Professeur des universités - Responsable du doctorat Email [email protected] Téléphone +33 (0)2 99 05 33 25

MSc Courses on Data Science and Artificial Intelligence

The diiP institute initiated the creation of the Graduate School of Artificial Intelligence and Data Science (grAIds) , which aims to train Master’s students on the most advanced techniques in artificial intelligence (AI) and data science, with an emphasis on interdisciplinarity.

The Université Paris Cité represents a pool of exceptional talent in a very wide range of disciplines where the need for data analysis is high, and is already running several relevant Master’s-level programs. The Graduate School on Artificial Intelligence and Data Science (grAIds) gathers under the same roof all educational efforts related to methods in the intersection of AI, ML, statistical learning, data analytics, data science, data intelligence, which address fundamental data analysis challenges across disciplines. Moreover, grAIds offers several opportunities for interdisciplinary educational offerings and research initiatives, ranging from ranging from fundamental research in Artificial Intelligence and Data Science to the application of these techniques to various fields, including medicine and biology, chemistry and industry, engineering and integrated health monitoring, astrophysics and Earth sciences, and others. The grAIds graduate school runs in coordination with the actions of the Data Intelligence Institute of Paris (diiP), therefore better preparing our graduates for an interdisciplinary world. The list of associated Master’s programs, laboratories and doctoral schools can be found on the  grAIds webpage .

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Phd-Study-In-France

• Top Universities for PhD Study in France - 2024

Top Universities for PhD Study in France – 2024

Written by Taru Medha

If you are thinking of doing a PhD in France, you can be sure you’ll be in good hands! The French government invests heavily in research, making the French higher education system highly respected in the world. France is known for excellence in teaching in everything from Business to Culinary Arts.

The French place a particular emphasis on specialised study which is an added bonus when thinking of doing a PhD as you can study somewhere that solely focuses on your subject of interest.

The French higher education system is divided into a few different types of institutions:

• Universities – Universities are financed by the French State and confer Masters and PhD degrees. Whether you want to study Science, Arts, Economics or Medicine, you have a place at one of the many French universities.
• Grandes Écoles – The Grandes Écoles are a network of more specialised schools. They can either be publicly or privately funded but are all recognised by the State. Écoles Normales Supérieures (Institutes of Advanced Education), Instituts d’Etudes Politiques (Political Science Institutes), Engineering Schools and Business and Management Schools are all part of the French Grande Écoles network.
• Schools of Art and Applied Arts – 50 French Schools of Arts and Applied Sciences provide specialised research training in Art and Design. They’re overseen by the French Ministry of Culture and some, like the École Estienne and École Boulle - HESAM Université, are directly overseen by the Ministry of Higher Education.
• Ecoles Nationales Supérieures d’Architecture (National Schools of Architecture) – The École Spéciale d’Architecture (Special School of Architecture), the Institut National des Sciences Appliquées (National Institute of Applied Sciences) along with 20 other public schools, form the ENSA network.
• Other specialised schools and institutions – France is home to nearly 3,000 higher education institutions that offer specialised courses in fields like Communication, Journalism and Medicine among others. However, not all degrees conferred by these institutions are recognised by the State.

Even though France follows the three-level organisation of degrees as dictated by the Bologna System and most degrees are valid in other countries , you must double check the validity of the degree provided by the institute you’re applying to.

Top 20 universities in France for a PhD

The history, reputation and popularity of the French education system is also reflected in the many universities featuring in global university ranking tables.

The table below lists the 20 best universities in France for PhD study according to global rankings. This information is based on the latest rankings tables, researched and published by Times Higher Education , QS and Academic Ranking of World Universities (ARWU) . It is important to note that each ranking system has their own methodology, and different factors affect the final result for a particular university.

Do rankings matter for postgraduate study?

Even though there are no postgraduate-specific rankings, university league tables can still be a useful tool for prospective PhD students.Read our guide on how to use international ranking tables as a postgraduate student for more information

No matter what you decide to study, there is a place for you at a world-renowned French institution.

Decided you want to study a PhD in France?

You can browse our website for PhDs in France and read our guides on how to apply for a PhD in France and much more.

Want More Updates & Advice?

This guide tells you everything you need to know to apply for a PhD programme in France.

Our guide tells you exactly how much a PhD in France costs and how you can find the right funding for it.

Want to study a PhD in France? This guide gives a detailed introduction to the kind of visa you need to study in France and how to apply for it.

What's it like to live in France during a PhD? Our guide covers accommodation, student living costs, working and other key information.

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By clicking on continue , you will visit the website of École Polytechnique, one of the founding schools of Institut Polytechnique de Paris.

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• Applied Mathematics and Statistics Program

Master Year 2 Data Science

WHY ENROLL IN THIS PROGRAM?

Asset n° 1 .

Master key tools and skills for data scientists based on an interdisciplinary approach

Lay the foundations of your future career by pursuing a PhD track in Data Science

Open up numerous job opportunities as data scientists, data analysts, or in academia

• Description

Today, major players in the world of business are increasingly aware of the potential of their data and are looking for ways to extract as much useful information as possible. Data scientists are in charge of retrieving, storing, organizing, processing this mass of information to create value. This is a hybrid profile requiring a solid background in mathematics and statistics, mastery of data management and processing tools and infrastructure, as well as curiosity and a thirst to understand.

The objective of the Master in Datascience is to train experts in this field. At the end of the training, the students have acquired skills in mathematics of statistical learning, in deep learning, reinforcement learning, optimization, and big data infrastructures among others. In particular, these skills are developed through practical projects and data science competitions.  At the end of the year, both the results at the chosen courses and the professional project are evaluated to validate the Master. 

This program allows students to:

• become experts on statistical learning and artificial intelligence
• gain a comprehensive training in the various disciplines constituting data science, with a strong emphasis on the mathematics and statistics methodology
• master sophisticated techniques both theoretically and in practice

Data Science has a strong impact on many sectors. There is currently a large worldwide shortage of data scientists and data analysts. Students from Data Science and Big Data courses are therefore eagerly awaited on the global job market. Like all fields of breakthrough innovation (e.g. biotechnology and e-medicine), there is a high need for high-level engineers and doctoral candidates.

On average, almost 25% of the students pursue with a PhD, while the others pursue in the industry.

Students of the Master can choose various courses, from very theoretical and mathematically involved courses, to more practical ones. In broad terms, the courses cover*:

• Convex optimization 
• Reinforcement learning 
• Graphical Models 
• Deep Learning
• Theory of Deep Learning 
• Machine Learning Theory 
• Machine Learning for Audio, Text, Graph, Dynamical Data
• Markov Chain Monte Carlo methods 

The courses also cover**:

• Large scale machine learning/ Big Data 
• (Advanced) Optimization
• Machine Learning & advanced methods
• Business or ethical aspects of ML 

*quite similarly to the MVA Master

** more specific to the Master Data Science - examples in (3) that are not covered by the MVA Master : Time Series, Causal Inference, Tail Event Analysis...

Large Scale Machine Learning/Big Data

Optimization

Machine Learning 

Machine Learning

Business and ethical aspects of ML

Large Scale Machine Learning

Business and Ethical Aspects of ML 

• Internship of minimum 16 weeks
• From April to end of August

Admission requirements

Academic prerequisites.

Completion of the first year of a Master in mathematics at Institut Polytechnique de Paris or equivalent in France or abroad.

Language prerequisites

How to apply.

Applications can be submitted exclusively online. You will need to provide the following documents:

• Two academic references (added online directly by your referees)
• Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Registration fees are available here

Find out more about scholarships

Please note that fees and scholarships may change for the following year.

Applications and admission dates

Coordinators.

Rémi Flamary

Program Office 

Stéphanie Clevenot

Contact the Master Program Office

General enquiries

[email protected]

• Mission and Vision
• Learning Methodology
• ESDST Advantage
• Accreditation
• Strategic Planning
• Our Mentor Profiles
• My E-Campus
• MBA – Business Analytics
• MBA – Big Data Management
• MBA – Data Science, Machine Learning & AI
• MBA – Marketing Analytics
• MBA – Financial Analytics
• MBA – Human Resource Analytics
• MBA – Logistics and Supply Chain Analytics
• MBA – Healthcare Analytics
• MSc in Artificial Intelligence for Robotics
• MSc in Big Data & Business Analytics

MSc in Data Science, Machine Learning & AI

• DBA – Data Science
• DBA – Business Analytics
• Our France Campus
• MBA – Business Analytics & Intelligence
• Bachelor of Data Science
• Our Student Profiles
• Scholarships
• Frequently Asked Questions
• Program Search
• Request Information
• Our France Campus Our campus is located in Paris and various programs from 1 to 3 years in duration are offered. Our programs are very unique with paid internships, multiple certifications, and job opportunities.

BATCH STARTS ON 1st DAY OF EACH MONTH

Program length.

Total Months

Total ECTS Credits

Program fee, currency calculator.

Machine learning has emerged as the discipline which emphasizes the development of advanced data driven computer programs that can access data and learn by themselves. This is aimed at removing human intervention in the most tedious of tasks.

Artificial Intelligence (AI) and Machine Learning (ML) plays kin to it. Irrespective of the industry, ML and AI have drastically altered the landscape and invented new ways of looking at the data. All being backed by standard statistical and mathematical principles.

This Masters in Science programme in AL and ML clubs the nuances of both the disciplines to offer students with exactly what is needed to understand the world of data in tools and in theory. machine learning to enable student’s business decision making and analytics.

The course focuses on developing statistical thinking to line a foundation of varied specialization courses in their future course of study. It involves introduction to the statistical concepts and tools widely used for Data Analysis and helps in effective deciding.

Students will discover the concepts and gain expertise on the usage and applications of algorithms of Artificial Intelligence and Machine Learning. They will have abundant opportunities to plunge into the advanced concepts. By hands-on projects, students will gain experience on the concepts behind search algorithms, clustering, classification, optimization, reinforcement learning and other topics and incorporate the learning in R Programs.

Highlights:

• Meticulously designed curriculum suitable to the industry needs with a high focus on practical applications
• Online delivery of lectures to facilitate learning at your own pace
• Best in class mentors with a rich industry and academia experience, providing 1 on 1 mentorship
• Supervised projects coming from various industries across all the offered courses
• Comprehensive courseware and study material
•  360-degree coverage of additional courses in each term, for candidates to be job ready
• Extensive hands-on over the widely used Analytics tools and technologies
• Application of theoretical concepts to solve business problems
•  Expert International instructors
• Constant exposure to latest developments in the industry

Program encompasses a multitude of tools and concepts, few of which are:

Data science and statistical concepts, Programming with R, SQL, NoSQL, Artificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Cloud Computing etc.

ESDST offers Recognition of Prior Experience (RPE) and thus a formal bachelor’s degree is not mandatory for entering this program.

Approx. Module Length

3 - 4 weeks

Max. Number of Transfer Credits:

Business Statistics and Advanced Excel ( 4 ECTS) Business Analytics and Research Methods Foundation ( 4 ECTS) Programming for Analytics using Python ( 4 ECTS) Predictive Analytics Methods ( 4 ECTS) Business Communication ( 3 ECTS) Professional Career Lab ( 1 ECTS)

> Award of Certificate in Business

Artificial Intelligence and Machine Learning (5  ECTS) Mathematics for Machine Learning ( 4 ECTS) Data Warehousing and Management ( 4 ECTS) Machine Learning Methods Using Python ( 4 ECTS) Ethics in AI ( 4 ECTS)

> Award of Certificate in Foundation Business Analytics

Data Visualization and Storytelling with Tableau (5 ECTS) Artificial Intelligence and Robotics (5 ECTS) Robotic Process Automation (5 ECTS) Natural Language Processing (5 ECTS) Econometrics (5 ECTS) Business Application Seminar (4 ECTS)

> Award of Certificate in Expert Data Science

Capstone Consulting Project (3 0 ECTS)

> Award of Practitioner Badge – Data Science

Total ECTS: 12 0

> Award of MSc in Data Science, Machine Learning & Artificial Intelligence

CAREERS & OUTCOMES

The ESDST MSc in Artificial Intelligence and Machine Learning will train our graduates in the essential concepts, skills and knowledge to support them in their career growth. Emphasizing the application of theoretical concepts to practical problems, this programme would provide students with an opportunity to develop an understanding towards the intricacies and solutions of real-world problems. Adequate business projects, guided training on advanced tools and lectures by industry mentors will enable students to deeply understand the force of AI and ML around the globe.

Each student at ESDS is matched with an Industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. Mentor is responsible to guide the students through the course and present them with real-life experiential learning along with core learning taking place in the program.

Primary   outcomes:

• Gain an understanding of Al concepts and MI algorithms, with the application of each
• Develop critical thinking by taking up assignments which require problem solving, inference and perception
• Understand business problems and weave an approach to solve them through the learnt principles
• Figure up a method to judiciously study and scan data to apply ML algorithms to reveal insights
• Be proficient in the usage of tools/technologies prevalent in the data science industry

After successful completion of the program, career roles would be guided by the level of expertise of the students and prior experience. For working professionals, opportunities range from career shift/transformation from the current role to a data analysis centric role.

For fresh graduates, the knowledge and skills developed during the MSc programme would enable them to apply for suitable positions centred around their skills and interests. Students can target any of the following roles:

• Data Scientist/Data Manager
• AI specialist/ AI analyst
• Machine Learning Specialist/ Machine Learning Manager

ELIGIBILITY

ESDST maintains very high standards for students who enter our academic programs. For all MSc programs, the following criteria need to be met before admission is offered to a prospective student.

Qualifications: Bachelor’s Degree or an equivalent recognized academic title in any discipline.

Qualifications Waiver: For students who don’t have a Bachelor’s Degree, ESDS uses Recognition of Prior Experience (RPE). ESDS generally utilizes over 3 years of relevant experience in a significant role for waiver of Bachelor’s Degree. Please contact us at [email protected]

Proficiency in English: Evidence of Proficiency in English IELTS 6.0+ , OR PTE 50+ , OR TOEFL 550+, OR Any other proficiency test taken in the last 2 years

English Proficiency Waiver: The English proficiency test is waived for the following candidates: Native English Speakers, OR; Applicants having completed their schooling in English (i.e. High School Diploma or IB), OR; Applicants having completed their undergraduate degree in English in an English speaking country, OR; 2 Years of work experience in a setting in which English is the primary language of work

ACCREDITATION COUNCIL FOR BUSINESS SCHOOLS AND PROGRAMS (ACBSP)

Through its parent institution, Rushford Business School, ESDST is a member of the “Accreditation Council for Business Schools and Programs (ACBSP). ACBSP is a global accrediting body that accredits business programs at the associate, baccalaureate, and graduate degree levels worldwide since 1988. Rushford Business School is part of a membership that extends to more than 60 countries. ACBSP members are amongst the best educators in their respective fields, interested in learning innovative teaching methods, improving the delivery of business education programs, and creative value for their students.

INTERNATIONAL ACCREDITATION COUNCIL FOR BUSINESS EDUCATION (IACBE)

ESDST through its parent schools Rushford Business School and James Lind Institute is a member of the “International Accreditation Council for Business Education (IACBE)” The IACBE accredits business programs that lead to degrees at the associate, bachelor’s, master’s, and doctoral levels in institutions of higher education worldwide. All modes of delivery, campuses, locations, and instructional sites, as well as all business programs regardless of degree level, will normally be included in the IACBE accreditation review.

UNITED NATIONS PRINCIPLES FOR RESPONSIBLE MANAGEMENT EDUCATION (PRME)

ESDST through Rushford Business School is a proud supporter and Signatory of the United Nations Principles for Responsible Management Education (UN PRME). PRME is an initiative of the United Nations Global Compact founded in 2007 as a platform to encourage and increase awareness and integration of sustainability in business schools around the world. Today, PRME is the largest coordinated effort between the world’s business schools and the United Nations. Rushford Business School became a PRME signatory in 2020. As a school, we understand the privilege and responsibility of providing quality education that gives learners the knowledge and tools they need to succeed, change lives, and transform societies.

Swiss Higher Educational Institution

James Lind Institute is an approved post-secondary higher educational Institution with the authority to award private degrees in Switzerland. The institute is registered in the Canton of Geneva, Switzerland under the UID CHE-255.747.977.

International Council For Open & Distance Education (ICDE), Norway

ESDST through its parent institution James Lind Institute is a proud member of the prestigious International Council for Open & Distance Education. ICDE has consultative partner status with UNESCO and shares UNESCO’s key value – the universal right to education for all. ICDE further derives its position from the unique knowledge and experience of its members throughout the world in the development and use of new methodologies and emerging technologies.

International Organization For Standardization (ISO) 9001:2015 Certified

James Lind Institute (JLI) is fully accredited by the AMERICAN BOARD OF ACCREDITATION SERVICES (ABAS) as per ISO 9001:2015 standards for providing Training & Education Programs related to healthcare and allied sectors.

Earn 4 Certificates and 1 Degree

Project based learning, become a practitioner, live bootcamps, immense corporate connect, upskilling support for up to 3 years, our integrated labs.

Get career ready with our integrated Labs!

• Entrepreneurship & Innovation Lab
• Sustainability Lab

Learn in-practice tools!

• Deep Learning
• Machine Learning
• Neuro Linguistic Programming

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The esdst msc difference.

Establish Credibility

Completing your MBA from ESDST gives you the confidence and credibility to have completed a program from a top class European Business School

Learn at your own pace

We offer one of the most flexible programs globally and you are always in control of how quickly you want to learn

Stay Current and Relevant

We ensure that our academic programs stay current with the latest topics of relevance and importance

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