Doctorate in Business Administration
MBAData Science and AnalyticsMachine Learning and AIManagementProduct and Project Management
Study Abroad

    Enroll in the Masters of Data Science program at upGrad School of Management and Technology, UK.

    Learn Grow Upskill Advance

    No tuition fee or charges for course material and delivery

    Tuition Free Learning

    90 ECTS granted, recognized in the U.S., Canada, Europe and more

    Globally Recognized

    Enjoy a 100% online learning experience


    Duration, Recommended 12-15 hours/week

    16 Months

    About the Program

    Tuition Free Learning

    Tuition Free Learning

    At upGrad, we believe education should be accessible to all. With this in mind, we bring you our latest offering - Tuition Free Learning Programs. These programs allow you to access content and learn skills for free. There is no tuition fee or charges for course material, assignments and in fact the entire learning experience. Pay a nominal $25 application fee to process your application and administration with Woolf, EU. The only optional charges are those to have your assignments graded, which come with flexible payment options. Don’t let financial obstacles stop you!

    Globally Recognized

    Globally Recognized

    A MSDS from upGrad School of Management and Technology, UK is a 90 ECTS program. ECTS are recognized in 49 countries allowing the transferability of education and access to jobs. You can now earn a degree equated to a Masters Degree in the U.S. and Canada, in your home country. Don’t let geographical limitations stop you!



    The MSDS from upGrad School of Management and Technology, UK is an 100% online course. You can begin your course at any time, pause between courses, and start where you left off any time you want. Complete your MSDS in just 16 months. Don’t let lack of time stop you!

    Global Community

    Global Community

    upGrad is an online education platform that has helped over a million learners across 50 countries achieve their career aspirations. When you enroll, you gain access to this global community of over 2M learners.Don’t let paucity of networking opportunities stop you!


    upGrad School of Management and Technology, UK is a constituent school affiliated to Woolf, EU. You can have a look at Woolf’s Accreditation below:

    United States of America - Woolf University is incorporated and officially approved in the State of Wisconsin under Wis. Stats. § 440.52 (10)(a), with approval granted on August 15th, 2022 under the Educational Approval Program of the Wisconsin Department of Safety and Professional Services, which is the body providing state licensure for universities.

    Besides Wisconsin, Woolf University is also incorporated in California and Washington D.C.

    Europe - Woolf (MT) based in Malta, has been a member of the European Union since 2004, and of the European Higher Education Area since 2010. Its degrees are fully integrated with the ECTS system.

    Switzerland - In Switzerland, Woolf is a private degree-granting Higher Education Institution based in the Canton of Aargau. Woolf is in discussion about potential further national accreditation approvals from the Swiss Accreditation Council via the Swiss Agency of Accreditation and Quality Assurance (AAQ).

    Programme Overview

    Key Highlights

    100% European ECTS credits
    100% European ECTS credits
    Application-first MSDS taught by industry leaders
    Application-first MSDS taught by industry leaders
    Project & MCQ-only based evaluation
    Project & MCQ-only based evaluation
    Blended Learning with Live & Recorded Classes
    Blended Learning with Live & Recorded Classes
    Dedicated student support available
    Dedicated student support available

    MSDS by upGrad School of Management and Technology, UK* is accredited by European Credit Transfer System (ECTS).

    Degrees that offer ECTS credits are universally accepted all throughout the EHEA (European Higher Education Area) region that consists of 40+ countries including UK, France, Germany and Netherlands.


    Our program provides a top-tier curriculum in the field of data science and artificial intelligence education, delivered by distinguished academic professionals and industry experts who are highly regarded in their respective fields.

    Download Syllabus

    Who Is This Programme For?

    Engineers, Marketing & Sales Professionals, Freshers, Domainview more

    Top Skills You Will Learn

    Predictive Analytics using Python, Machine Learning, Data Viview more

    Job Opportunities

    Data Analyst, Data Scientist, Data Engineer, Product Analystview more

    Minimum Eligibility

    Learners meeting the below criteria are eligible for the proview more

    Programming Languages and Tools

    upGrad School of Management and Technology, UK

    Master of Science in Data Science from upGrad
    Earn a Masters degree which gives European credits
    Master of Science in Data Science from upGrad
    Click to zoom
    • Earn an Associate alumni status from upGrad
    • Learn through real-life industry projects
    • Cutting-edge concepts of Data Science & AI

    Explore our Learning Platform

    Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts.
    Explore our Learning Platform


    Learn from India’s leading Data Science faculty & industry experts


    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
    Download Brochure
    Content Hours Available
    Industry Projects
    Programming Tools/ Languages

    Fundamentals of Predictive Modelling

    6 Weeks
    • Intro to Python - I
    • Intro to Python - II
    • Programming in Python
    • Basics of SQL
    • Advanced SQL - I
    • Graded Project: SQL - RSVP Movies

    Exploratory Data Analysis & Management

    6 Weeks
    • Python for Data Science - Numpy
    • Python for Data Science - Pandas
    • Data Visualisation in Python + EDA - I
    • EDA - II
    • Graded Project: Credit EDA
    • Buffer

    Topics in Data Mining

    6 Weeks
    • Data Modelling
    • Advanced SQL - II
    • Analytical Thinking and Structured Problem Solving
    • Data Structures and Algorithms
    • Searching, Sorting, Algorithm Analysis and Recursion
    • Graded Project: SQL & Python Lab

    Data Visualisation

    4 Weeks
    • Basic Visualisation using Tableau
    • Data Analysis and Visualisation in PowerBI
    • Introduction to AWS QuickSight and Google Looker Studio
    • Graded Project: Data Storytelling

    Statistical Inference

    5 Weeks
    • Inferential Statistics
    • Hypothesis Testing
    • Linear Regression - I
    • Linear Regression - II
    • Graded Project: Linear Regression

    Data Science in Practice

    4 Weeks
    • Casptone - Week 1
    • Casptone - Week 2
    • Casptone - Week 3
    • Buffer

    Advanced Predictive Modelling

    6 Weeks
    • Logistic Regression - I
    • Logistic Regression - II
    • Classification using Decision Trees
    • Unsupervised Learning: Clustering
    • Model Selection - I
    • Graded Project: Lead Scoring

    Machine Learning I

    5 Weeks
    • PCA
    • Advanced Regression
    • Bagging & Random Forests
    • Model Selection - II
    • Graded Project: Telecom Churn

    Text Mining and Natural Language Processing

    5 Weeks
    • Basics of NLP and Text Mining - Lexical Processing
    • Neural Nets for NLP
    • Syntactic Processing
    • Introduction to Semantic Processing & Distributional Semantics
    • Graded Project: Syntactic Processing

    Introduction to Generative AI

    5 Weeks
    • Intro to Generative AI and ChatGPT
    • Prompt Engineering Techniques and Advanced Prompt Engineering
    • Applications of LLMs for Text based ML tasks
    • Graded Project: Create a LLM based application
    • Buffer

    Machine Learning II

    3 Weeks
    • Introduction to Convolutional Neural Networks
    • CNN Architectures and Industry Applications
    • Recurrent Neural Networks and Applied DL in NLP

    Applied Data Science - Masters Project (Masters Phase)

    8 Weeks
    • Masters Project - I
    • Masters Project - II
    • Masters Project - III
    • Masters Project - IV
    • Masters Project - V
    • Masters Project - VI
    • Masters Project - VII
    • Masters Project - VIII

    Introduction to Generative AI (optional)

      Industry Projects

      Learn through real-life industry projects sponsored by top companies across industries
      • Engage in collaborative projects with student-mentor interaction
      • Benefit by learning in-person with expert mentors
      • Personalised subjective feedback on your submissions to facilitate improvement

      Tuition Free Learning


      What is Tuition Free Learning?

      What is Tuition Free Learning?
      • What is Tuition Free Learning: In simple terms, tuition free means you can go through all the content of the program, attend all the live sessions, access the assignments for simply the application fee of $25. There are no additional fees to learn. Should you wish to be a degree seeking student you may need to pay to have your assignments assessed. But, there are only limited tuition free seats available. So, reserve yours now!

      How to get Credits?

      How to get Credits?
      • In case you want to get your assignments graded, there is a fee of $150 per assessment. You can choose which ones you want to pay for or you could choose to pay for all to qualify as a degree seeking candidate.

      Payment Plans

      Payment Plans
      • If you choose to pursue the degree and pay for assessments there are many options available. You can choose to pay per assessment or pay upfront. If you choose to pay upfront, you will be eligible for a 25% fee waiver.

      Admission Process

      There are 4 simple steps in the Admission Process which is detailed below:

      Application Fee: USD 25

      Total Program Assignment Fees: USD 2,750

      *Fee Waiver (in case of upfront payment): $2,000.

      How can I pay my application fee?

      You can use any of the below methods to pay your application fee

      Bank transfer


      Kenya:      Standard Chartered Bank 

                        Centum Learning Limited 

                        Current Account 



                         0106014328400 SCBLKENXXXX


      Kenya:        Citibank N.A 

                          Centum Learning Limited 

                          Current Account 



                          010473700 CITIKENA


      Nigeria:       Standard Chartered Bank 

                           Centum Learning Nigeria Limited 

                           Current Account 



                           0000475017 SCBLNGLAXXX


      Uganda:     Standard Chartered Bank 

                          Centum Learning Limited 

                          Current Account 



                          0104014378200 SCBLUGKAXXX


      For all other countries: 

                          To pay via Paypal click here

                          Alternatively, to pay using your Credit or Debit Card, click here

      Empowering learners of tomorrow

      Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

      Start Referring

      Refer someone you know and receive cash reimbursements of up to $500!*

      *More details under the referral policy under Support Section.


      - Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *

      Frequently Asked Questions

      Course Eligibility

      Who is this program for?

      The Master of Science in Data Science & AI is ideally suited for individuals who have a strong interest in data analysis, machine learning, and artificial intelligence, and aspire to pursue a rewarding career in these fields. This program is suitable for graduates seeking to enhance their knowledge and skills in data science, as well as professionals looking to transition into the rapidly growing field of data analytics and AI.

      Is there an eligibility criteria for this program?

      Learners meeting the below criteria are eligible for the program:

      • Bachelor’s degree involving technical skills(Mathematics, CS, Engineering, other majors
 with involving computers, mathematics/statistics)
      • Any bachelor’s degree +
 (Additional certification/diploma course in data science/ higher mathematics/computers or 1 year’ work experience in related fields)
      • 10 + 3 diploma + 7 years experience in a related field (IT, Computer Science, Programming, Research or Business Analysis)

      Alternate candidates may be considered with further evaluation:

      • 12th + 2yr Diploma + 5 years work experience
 in related fields
 (IT, AI, Engineering, Analytics, Insurance, etc.)
      • 10th + 3yrs Diploma + minimum 7 years work experience in a non-related field
 (i.e not from IT, Computer Science, Programming, Research or Business Analysis


      What is the admission process?

      The admissions process is completely online. The following are the key steps in the application process: 

      Step1-Fill out the MSDS application form

      Step 2-Get shortlisted and receive the offer letter

      Step3-Pay the application fee

      Step4-Complete Candidate Verification by Woolf, EU

      Program Learning Experience

      Will I be able to complete this program being a busy working professional?

      The program is specially designed for working professionals to enable effective learning while they continue their jobs/existing pre-dispositions. Recorded content can be consumed on the website or mobile application on the go while the Live classes are scheduled on weekends at convenient times so you can attend them easily.

      What are the evaluation methods in the program?

      Learners are evaluated through MCQs and project-based assignments for every course.

      How would these real-industry projects help me?

      Our programs have a strong experiential component that will prepare you to apply your learning on the job. Learn - Experience - Apply. Case Studies and industry projects will help you to experience real-life challenges in Management. These will enable you to step into the shoes of leading managers at companies and put to use the theoretical learning in an experiential manner. Post this programme, these will serve as a portfolio of projects you can illustrate to advance your career. 

      What kind of support does upGrad offer?

      • Student Support is available 7 days a week, 24*7
      • You can write to us via  Or for urgent queries, use the "Talk to Us"  option on the Learn platform
      • Additionally, an upGrad buddy will enhance the learners’ experience by engaging with them to ensure they are on track with upcoming deadlines, submissions, offer guidance, and resolve their non-academic queries.
      • Extensive academic support through the Discussion Forum, weekly TA-Sessions. Just like in a university, your batchmates will help you with any academic queries. This will happen via the Discussion Forum.
      • Other than your peers, you also have TAs (Teaching Associates) for any academic query. Your academic queries will be solved by the Faculty and TAs in 36-48 hours.

      Refund Policy/Financials

      Is there any deferral or refund policy for this program?

      Refund Policy:


      1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. For post program refund please connect with your Admissions Counselor to understand the policy. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.


      2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.


      3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.

      upGrad Learner Support


      Write to us at

      Available from 9 am to 8 pm GMT (Monday - Friday).

      *All telephone calls will be recorded for training and quality purposes.

      *If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.