Master of Science in Data Science from upGrad School of Management and Technology, UK*
You can crack the code of every difficulty.
You can figure out the algorithm of every limitation.
What's stopping you from creating a model that helps you achieve your ambition?
Enroll in a Master of Science in Data Science from upGrad School of Management and Technology, UK.
*upGrad School of Management and Technology, UK is a constituent school affiliated with Woolf, EU
In association with
Enroll in the Masters of Data Science program at upGrad School of Management and Technology, UK.
Learn Grow Upskill AdvanceNo tuition fee or charges for course material and delivery
Tuition Free Learning90 ECTS granted, recognized in the U.S., Canada, Europe and more
Globally RecognizedEnjoy a 100% online learning experience
FlexibleDuration, Recommended 12-15 hours/week
16 MonthsAbout the Program
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
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!
Flexible
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
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!
Accreditations
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:
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
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.
Syllabus
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.
Who Is This Programme For?
Top Skills You Will Learn
Job Opportunities
Minimum Eligibility
Programming Languages and Tools
- Earn an Associate alumni status from upGrad
- Learn through real-life industry projects
- Cutting-edge concepts of Data Science & AI
Explore our Learning Platform
Instructors
Learn from India’s leading Data Science faculty & industry experts
S. Anand
Behzad Ahmadi
Mirza Rahim Baig
Sajan Kedia
Rajesh Sabapathy
Vishwa Mohan
Kautuk Pandey
Ujjyaini Mitra
Ankit Jain
Syllabus
Fundamentals of Predictive Modelling
- 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
- 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
- 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
- Basic Visualisation using Tableau
- Data Analysis and Visualisation in PowerBI
- Introduction to AWS QuickSight and Google Looker Studio
- Graded Project: Data Storytelling
Statistical Inference
- Inferential Statistics
- Hypothesis Testing
- Linear Regression - I
- Linear Regression - II
- Graded Project: Linear Regression
Data Science in Practice
- Casptone - Week 1
- Casptone - Week 2
- Casptone - Week 3
- Buffer
Advanced Predictive Modelling
- Logistic Regression - I
- Logistic Regression - II
- Classification using Decision Trees
- Unsupervised Learning: Clustering
- Model Selection - I
- Graded Project: Lead Scoring
Machine Learning I
- PCA
- Advanced Regression
- Bagging & Random Forests
- Model Selection - II
- Graded Project: Telecom Churn
Text Mining and Natural Language Processing
- 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
- 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
- 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)
- 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
- 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
Credit EDA Assignment
In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan are not rejected.
RSVP Case Study
In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film.
Bike Sharing Assignment
Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimize its revenue.
Lead Scoring Case Study
In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioral data of the leads (potential buyers), it will be able to identify the ones most likely to convert.
Big Data Case Study
Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud.
Airbnb Case Study
Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.
SQL & Python Lab
Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills.
Model Selection Case Study - Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.
Airbnb Case Study
Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.
Business Case Study
Understand how data projects are taken up in the industry and implement the steps required to successfully manage and complete a data project.
Advanced ML Case Study - Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.
NN Assignment
In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.
Gesture Recognition Case Study
Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.
Syntactic Processing Assignment
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data.
Automatic Ticket Classification Case Study
In this case study you will create a solution that will help in automating the classification of different complaint tickets raised by the customers of a multinational bank.
MapReduce Programming Assignment
Perform MapReduce Programming in a big data environment on a large dataset.
ETL Project
Make use of Sqoop, Redshift & Spark to design an ETL data pipeline.
Retail Project
Build an end-to-end real-time data processing application using Spark Streaming and Kafka.
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?
- 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
- 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:
Step 1
Complete your application on upGrad
Fill out the MSDS application form with your education and work experience details.
Step 2
Receive the Offer of Admission
If admitted, you will receive an offer of admission in your inbox. Please review it.
Step 3
Enroll
Enroll by paying the $25 (or equivalent) application fee.
Step 4
Become a Degree Seeking Candidate
Pay for assessments as they come should you wish to achieve the MSDS degree.
Application Fee: USD 25
Total Program Assignment Fees: USD 2,750
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
Kenya
KES
0106014328400 SCBLKENXXXX
Kenya: Citibank N.A
Centum Learning Limited
Current Account
Kenya
KES
010473700 CITIKENA
Nigeria: Standard Chartered Bank
Centum Learning Nigeria Limited
Current Account
Nigeria
NGN
0000475017 SCBLNGLAXXX
Uganda: Standard Chartered Bank
Centum Learning Limited
Current Account
Uganda
UGX
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?
Refer someone you know and receive cash reimbursements of up to $500!*
*More details under the referral policy under Support Section.
Note
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 info.emea@upgrad.com 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 www.upgrad.com 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 Education Learner Support
OR
Write to us at query@upgrad.com
Monday - Friday | 9:30 am to 7:30 pm SGT.
*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.