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 HighlightsMedium of InstructionsMode Of Delivery
EnglishVideo and Text Based

Course Details

The “Master of Data Science” Certification is an online course by the National Research University Higher School of Economics (HSE University) in association with Coursera. HSE University is a leader in Russia’s education by making a combination of traditional, and international practices in both teaching and research. This prestigious university has been ranked as the number 1 by Forbes, amongst the list of the "Universities for the Future Elite: 100 Best Russian Universities.

The “Master of Data Science” syllabus is a holistic mix of meetings, coursework, and live class sessions that are taught in English, and the work environment is replicated as the real environment of Data Scientists by using Github, Python, and some recently used apps like

Slack and Zoom. Also, this course does not have any on-campus module requirements.

If you are a student with or without prior coding experience and want to become a data scientist with a master's degree from a foreign university then this “Master of Data Science” Training is the right course for your career. The faculty that teaches this course is an amalgamation of an expert at HSE, and Yandex to give you the best learning experience.

Programme Offerings

Online Course
Career relevant curriculum
Faculty Guidance
3 projects
Certificate by HSE University
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Eligibility Criteria

Educational Qualification

All candidates must have a 3-year Bachelor’s Degree irrespective of any major and minor
All applicants must pass an online proficiency exam in basic maths.

Work Experience

There is no work experience in terms of coding is required for the “ Master of Data Science” program

Certification Qualifying Details

Candidates will have to complete all the lectures, assignments, projects, and a 10-15 minutes project presentation to be able to receive a Master's Degree from HSE University.

Admission Details

For admission to the “Master of Data Science” certification course, candidates need to follow the steps below:

Step 1: Submit the application form - Select anyone based on the candidates’ citizenship.

Step 2: Signed copies of key documents - Once the password is received from the Application Portal, candidates need to submit signed copies like Consent, Application Form, and Agreement.

Step3: Send Signed hard Copies - Apart from the online submission hard copies of the signed documents should also be sent to HSE university

Step 4: Complete the entire application - After the online documents are submitted, the next step is to submit the application.

Application Details

The application form has to be submitted for the “Master of Data Science” online course either by selecting Registration for Russian citizens or by selecting Registration for non-Russian citizens. After doing so candidates will receive the login and password to sign in, and complete filling up the application form.

HSE University Frequently Asked Questions (FAQ's)

1: Can the course materials be accessed via a smartphone?

Yes, Coursera has a mobile app where learners enrolled for the “Master of Data Science” course can easily access all the course materials anytime, and anywhere in the world.

2: Who is this “Master of Data Science” Training for?

This course is mainly for learners who want to become experts in Data science or want to have a progressive career in fields like analytics, machine learning, artificial intelligence, and research.

3: Who will bear the currency conversion charges of the fees?

Any currency exchange charges shall be borne by the students enrolling in the course. Currency exchange commissions charged shall be borne by students

4: What is the duration of the program?

The online duration of the “Masters of Data Science” is for a period of 22-24 months.

5: What to do when candidates have any questions about the admissions process or the program?

Candidates can place their queries to mds@hse.ru, or can also watch recordings of the admissions webinar in English or Russian language to learn more.