Courses
Master of Science in Data Science

Master's of Science in Data Science

  • 12 Months
    Aug 30, 2021
  • LJMU & IIITB
    WES Recognized
  • Rs. 13,417 for 48 months
    Rs. 4,85,000 Incl. Taxes
Get a dual degree from IIITB & LJMU, UK
MSc in Data Science by LJMU
Ranked 66 across UK under The Complete University Guide
LJMU
LJMU
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IIIT-B
IIIT-B
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Earn more than you invest in the programme

Get a degree without quitting your job

You Invest
Rs. 4,85,00 (incl. taxes)
Time Spent
13 hrs/week
Opportunities for you post your Data Science Program
Jobs you can get in the next 20 months
Rs. 6,80,000/yr
Data Analyst
Entry Level
Rs. 15,00,000/yr
Tech Lead
Mid Level
Rs. 26,00,000/yr
VP Data Scientist
Senior Level
Source : Glassdoor

Work for your dream companies. Just like our Alumni!

Leading companies recruit upGrad learners

1000+
Careers transitioned through the course
Sharath Jois

Sharath Jois

Sr. Data Scientist, Affine Analytics

Raghavi Premkumar

Raghavi Premkumar

Senior Analyst, Accenture

Rananjoy Bhatacharya

Rananjoy Bhatacharya

Data Scientist, Gramener

Naman Kansal

Naman Kansal

SC Manager Analytics, Nykaa

Poornima Tomar

Poornima Tomar

Data Scientist, PayPal

To be a part of this program, you need

Bachelor's Degree
Minimum 50%
Any stream
is applicable

Designed to meet your career aspirations

The right course for you aligns with your career goals

Fresher
0-3 yrs of experience in any domain
Transition into Data Role
Data Analyst
Business Analyst
Data Scientist
Mid to Senior Level
3+ yrs of experience in any domain
Upskilling for the future
Sr. Data Engineer
Sr. Business Analyst
Sr. Data Scientist
Download Career Report
Data Science Degree from LJMU gives you an edge
Learn from the best faculty and industry mentors
What our learners say about our mentors

Attend classes & compete with the best from the lot

20,800

Applications received

732

Graduated learners

Learners from diverse Educational & Professional Backgrounds

290

Engineering

189

Business/ Commerce

189

Economics

189

Social Science

See who you will be learning with
 Khathirula Md

Khathirula Md

Process Engineer Analytics, Amazon

Rohan Chakraborty

Rohan Chakraborty

Business Development Trainee, BYJU'S

Samit Saxena

Samit Saxena

Associate Consultant, Infosys Consulting

Shrikanta Damodar

Shrikanta Damodar

Sr Business Systems Analyst, Honeywell

 Sachin Katiyar

Sachin Katiyar

Senior Systems Analyst, NSEIL

Our curriculum focuses on industry relevant skills

Best-in-class content by leading faculty and industry leaders with customised specialisations.

Data Toolkit
Machine Learning I
Specialisation Course - I (DA, BA, DE, DL, NLP, Generalist)
See more
1
Exam
2
Assignments
35
Live Sessions Hours
160
Total Hours
0 topics
Download Syllabus

What our learners say about our curriculum

Abhishek Soni

Abhishek Soni

Consultant Data Scientist

Daraksha Anwar

Daraksha Anwar

Quality Assurance Analyst, Amazon

Sai Vineeth Grandhi

Sai Vineeth Grandhi

Assistant System Engineer at Tata Consultancy Services

Thareeq Adam

Thareeq Adam

Senior Associate, Axtria

Vishal Ranjan Pandey

Vishal Ranjan Pandey

Associate, Aarambh Lekha

Save your money & time by doing it online

Learn with us, Pay at your own pace

Start learning from

₹ 13,417/ month

Full price: ₹ 4,85,000/- (incl. of taxes)

Payment Options designed to fit your needs
Recommended
0% Interest

From Rs. 21,905 per month

for 21 Months

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Pocket-Friendly
Lowest cost per month

From Rs. 13,417 per month

for 48 months

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Reserve a Seat
Pay what you like

Rs. 25,000

& pay the rest later

Depend on us for career services

We offer career services to ensure you are ready to face the industry

1 on 1 Industry Mentorship

1 on 1 Industry Mentorship

Get personalised career paths traced by experts to identify best opportunities based on your interests.

Career Coaching

Career Coaching

Our experts will help you understand the expectations of the industry and prepare your resume for the real world.

Just in time Interviews

Just in time Interviews

Detailed review of the interview, Objective feedback about your competencies in relation to job applications.

Job Portal

Job Portal

Interview for the most lucrative career opportunities with upGrad's 300+ hiring partners. Be the first to know about vacancies.

Get in touch with our career experts

Get Free Career Guidance

Take the next steps towards  transforming your career

Take the Online Eligibility Test

Complete your application to take the 17 minute online eligibility test to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.

Receive your Offer Letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission.

Pay & Start Learning

Block your seat with a payment of Rs. 25,000 to enroll into the program. Begin with your prep course and start your Data Science journey today!
Not sure? Try the upGrad Learning Experience
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Compare & choose the program that fits your needs

 
This Course

LJMU

IIITB

Fees
Duration
Industry Projects
Certification
Rs. 4,85,000
20 months
LJMU
Rs. 2,85,000
12 months
IIITB
 Dedicated support to help you master Data Science

Alumni Testimonial

4.67

Subramanya Srinivasa

APN Software Services Inc

upGrad's professional approach to education was encouraging as well as refreshing in these times. Never felt like I missed real physical classes.

Aayushi Aggarwal

Data Analyst, Ganit

upGrad has groomed me not only with the course content but also with additional efforts they you industry ready. It was a wonderful experience and it...

Pramodini V Nayak

Data Analyst, Newmedia, London

Learning with IIITB and upGrad has been an amazing journey. The deadline keeps you on your toes and makes you very disciplined and well organized. I...

Prachi Agarwal

Associate, Sattva Consulting

It is because of this course that I am where I am today. It helped me kickstart my career from nothing after a 2 year gap....

Navya Somesh

Data Scientist, Common Bank of Australia

They are highly helpful as they align you and your preparation in the direction of your goal and after this you feel your goal is right...

Gunjan Trivedi

Head of Global Operations, Whiteklay

I will not deny that I loved the way upGrad has branded itself. It is now also the best Startup on LinkedIn in 2020!

Frequently Asked Questions

Course Curriculum

What is the Master's in Data Science with upGrad?

What should I expect from the Master's Degree in Data Science?

What should I NOT expect from the Master's Degree in Data Science?

Which topics are going to be covered as part of the program?

What type of learning experience should I expect?

Is any certification granted at the end of the program?

When will I have to choose my specialization track?

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Do I have to choose the specialization recommended by upGrad?

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More information on data science
Since you’re interested in this
Data Science Industry Prediction 2021

If there is one good thing that the COVID-19 situation has shown us more vividly, it’s to rely on data more. To get the most out of the generated data, organisations need to spend more on innovations, problem-solving approaches, and employees’ upskilling. Here are two reasons why you can't escape data science upskilling:

1. How Many Job Opportunities Will Be There for Data Science Experts?
- More than 2,50,000 e-commerce firms exist globally. Therefore, it is evident that these firms will require a large workforce of data analysts and data scientists to analyse enormous amounts of data generated every day. 
- According to the latest survey conducted by Analytics Insight, in 2021, more than 3,037,810 new job openings will spring up. Startups and MNCs are posting job roles for data science experts globally and in the US. It vividly indicates that data is a big hot job openings aggregator. 

2. Why Can’t You Escape Upskilling Yourself?
- Regardless of the skills, degree, or experience, there is always a path to pursue Data Science as a career option. 
- As per the data science industry prediction 2021, the US and India are the top two countries to generate demand for more than 50,000 data scientists and over 300,000 data analysts job opportunities.
Skills required to prepare yourself as data analysts are Statistics, programming (using Python or R), Machine Learning, Multivariable Calculus, Data Wrangling, Data visualisation, Data Intuition, and Data Communication. 
upGrad has an unparalleled collection of data science courses with varying prices and duration. Check it out today!

Top 3 Exciting Industries For Millenial Data Scientists

If you are someone with an analytical mindset and tech chops, data science asks for honing your business acumen, global awareness, critical thinking, and relationship skills. The following industries are the top 3 that infuse your passion for data science.

1. Music and Data Science Analytics
Data science has a significant contribution to the music industry. Data science analysis helps companies to analyze trends and predict the next big hit. If your calling is in the music industry, imagine joining companies like Spotify, Hungama, Saavn, Pandora etc. 
As a data science analyst, you assess market trends to help your company release relevant music that your audience is going to enjoy. Well, if you are interested in movies, check out how data science is already transforming the movie industry.

2. Travel and Data Science Analytics
Watching National Geographic and TLC has inspired many millennials to consider a job in the travel industry. Here, data science can help you take a flight to land a job in companies like Tripadvisor, Expedia, Trivago, and the coolest AirBnB. 
You know working for these companies is a rewarding experience, but to attract a reward like that you have to be the person helping your travel company forecast bookings through artificial intelligence, machine learning, and predictive analytics.

3. Food and Data Science
Data science controls AI-enabled restaurant-management software. Consider Zomato or Swiggy.
Think about how the surge price increases or decreases, how they market your favourite dish from your favourite or similar restaurant through geo-location, control food product availability, pricing, and changing trends in customer and general market preferences.

You just need the theoretical and practical skills to ace in your domain with data science analytics. Wait no more, drill the rig here. You choose data science because the power of data rewards your cognitive muscles for the betterment of your future and that of the world.
 

Most commonly asked R interview questions!

Over the past few years, the R programming language has gained significant traction in the Data Science and Machine Learning communities. This is mainly because it is a multi-purpose language that can be used for statistical analysis, data visualization, data manipulation, predictive modelling, forecast analysis, and much more. Here, we’re going to focus on the first part of landing a job in the domain – the R interview. Here are the 2 most commonly asked questions in R interviews!

1. What is R?
- R is a programming language and environment specifically designed for statistical computing and graphics. It comes with an extensive catalogue of statistical and graphical methods including linear regression, classification, clustering, time-series analysis, statistical inference, and ML algorithms, to name a few.

2. Name the different data structures in R.
R has four primary data structures:
- Vector: It is a sequence of data elements belonging to the same type. Members within a Vector are known as components.
- List: It is an R object that can contain elements of different types, including numbers, strings, vectors, or another list.
- Matrix: It is a two-dimensional data structure that can bind vectors of the same length. The elements within a Matrix must be of the same type – numeric, or character, or logical, or complex. 
- Dataframe: It is a more generic version of a matrix, that is it can contain elements of different data types. A Data Frame combines the characteristics of Matrices and Lists like a rectangular list, and its columns usually have different data types.

If you are interested to know more about data science, check out upGrad’s data science programs. Happy learning!