ug-header-logo-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img
WES Recognised

Master of Science in Data Science

Kick-start your Data Science journey with a Globally Recognised Master's from Liverpool John Moores University .
  • Type
    Masters
  • Start Date
    December 31, 2024
  • Duration
    18-20 Months
Apply NowDownload Syllabus
dWeb_550X572_DS LJMU-fd61131879c840139975fd3fdd0b3700
dWeb_550X572_DS LJMU-fd61131879c840139975fd3fdd0b3700
liverpool-logo
Liverpool John Moores University
  • Recognised Masters Degree by WES &
  • Institute of Analytics  (IOA)

About LJMU's Masters In Data Science Program

Course Snapshot

  • 5

    Unique Specializations

  • 14+

    Tools & Languages

  • 25+

    Industry Case Studies & Capstone Project

  • Complimentary Python Programming Bootcamp
  • WES recognised Masters Degree in Data Science
  • Fortnightly Group Mentorship Sessions with Industry Experts
  • IIIT Bangalore & LJMU Alumni Status
  • World Class Faculty from IIITB and LJMU
img36
Key Highlights Of LJMU's MS In Data Science

What is this course about?

Key Highlights

  • 6 Months - Masters Project / Thesis
  • Career Essential Soft Skills
  • World Class Faculty from IIITB and LJMU
  • 85% Recorded + 15% Live Sessions
  • Weekly Live Sessions with Industry Experts & Faculty
  • Dual Alumni Status - IIITB and LJMU
  • Career Coaching & Mentoring Sessions
  • Global Networking Opportunities
  • 1 week LJMU on campus visit**

5 Unique Specializations to choose from

  • Data Analytics
  • Business Analytics
  • Deep Learning
  • Natural Language Processing
  • Data Engineering

Top Subjects You Will Learn

  • Statistics, Predictive Analytics, Exploratory Data Analysis
  • Machine Learning, Deep Learning
  • Data Visualization, Big Data Analytics, Data Engineering
  • Python, Tableau, MySQL, Advanced Excel etc.

The program prepares you for several in-demand data roles

  • Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data Scientist
  • Product Analyst, Business Analyst, Finance Analyst, Operations Analyst, Marketing Analyst, Risk Analyst, HR Analyst, Data Driven Managers
  • Data Engineer, Machine Learning Engineer

Student Support

  • A dedicated program coordinator
  • 24/7 support to answer all your queries! intstudentsupport@upgrad.com
  • Centralised WhatsApp channels for queries

Programming Languages and Tools Covered

About LJMU's Master's In Data Science Program

The New Learning Experience

About the programme

Master's Degree Certificate In Data Science, LJMU

Earn valuable Credentials & Recognition

Finish your course to obtain a WES recognised MS in Data Science degree from Liverpool John Moores University

screen1

Explore Our Learning Platform

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

Explore Now
LJMU's MS In Data Science Course Syllabus

What will you learn?

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

500+ Hours of Learning Content.
25+ Case Studies and Projects
14+ Tools & Languages
1 Industry Capstone Project
6 Months Masters Project
Download Syllabus
MS In Data Science Specialisations

Customize your Learning

Select a specialisation that aligns with your interests and career goals

5 Specializations
14+ Case Studies and Projects
Download Syllabus

Masters In Science In Data Science Instructors

Whom will you learn from?

  • instructors-icon-1
    6 Instructors
  • instructors-icon-1
    9 Industry Experts
Data Science Projects

Learn by Doing

Learn from leading Data Science faculty and industry leaders in this Masters (MS) in Data Science

  • instructors-icon
    10+ Industry projects to choose from

Data Science Program Class Profile

Master of Science in Data Science

Our program caters to professionals from diverse backgrounds, creating a vibrant classroom environment with enriching discussions and interactions.

By Industry
Information Technology and Services
38%
Banking and Financial Services
13%
Education
7%
Healthcare
5%
Others
37%
By Work Experience
16%
8%
29%
18%
29%
By Highest Qualification
GRADUATION
54%
POST_GRADUATION
30%
Intermediate
13%
Others
3%
By Degree Type
41%
11%
7%
7%
30%
By Age
34+
25%
30-34
21%
26-30
31%
22-26
19%
18-22
1%
Others
3%
By Gender
75%
25%

upGrad Alumni Work At

Learner Support and Services

How will upGrad support you?

Access the various career development support services offered by
upGrad to help you achieve your professional goals.

Feature Overview
  • 5+ Harvard Cases and Simulations, and 50+ Caselets overall
  • Industry Experts teach sessions in every course to keep it industry-relevant
  • Mix of Live Classes & Recorded lectures for your convenience
Feature Glimpse
Feature Overview
  • 5+ Harvard Cases and Simulations, and 50+ Caselets overall
  • Industry Experts teach sessions in every course to keep it industry-relevant
  • Mix of Live Classes & Recorded lectures for your convenience
Feature Glimpse
Feature Overview
  • 5+ Harvard Cases and Simulations, and 50+ Caselets overall
  • Industry Experts teach sessions in every course to keep it industry-relevant
  • Mix of Live Classes & Recorded lectures for your convenience
Feature Glimpse
Feature Overview
  • 5+ Harvard Cases and Simulations, and 50+ Caselets overall
  • Industry Experts teach sessions in every course to keep it industry-relevant
  • Mix of Live Classes & Recorded lectures for your convenience
Feature Glimpse
reward-img-2

Program Fees: AED 34,900

*(Optional) 1-week LJMU campus visit at an additional USD 2000 or equivalent local currency.

Data Science Course Eligibility And Admissions

How To Apply

The admissions process for Liverpool John Moore University's MS in Data Science is very easy, and can be done completely online

Apply Icon
Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.

Apply Now
reward-img

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

*More details under the referral policy under Support Section

reward-img

Data Science Program Success Stories

What Our Learners Say

Frequently Asked Questions

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

The Master's degree is an engaging yet rigorous 18-20 months blended program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU.

The Master's degree is an engaging yet rigorous 18-20 months blended program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU.

Read More

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

Read More

The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

Read More

The program is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into 3 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do two specialization courses and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the five specializations are as follows:

Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models Deep Learning Specialization: Advanced Machine Learning, Neural Networks

Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing

Business Analytics Specialization: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving

Business Intelligence/Data Analytics: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

Deep Learning Specialization: Advanced Machine Learning, Natural Language Processing

Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing

This would be followed by 6 months Masters articulation from LJMU which would consist of Research Methodology and Masters Thesis under the supervision of subject matter expert.

The program is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into 3 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do two specialization courses and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the five specializations are as follows:

Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models Deep Learning Specialization: Advanced Machine Learning, Neural Networks

Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing

Business Analytics Specialization: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving

Business Intelligence/Data Analytics: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

Deep Learning Specialization: Advanced Machine Learning, Natural Language Processing

Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing

This would be followed by 6 months Masters articulation from LJMU which would consist of Research Methodology and Masters Thesis under the supervision of subject matter expert.

Read More
The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
Read More
Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.
Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.
Read More
The program has ~23 weeks of common curriculum and ~29 weeks of specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all five tracks, you will be prompted to choose your specialization.
The program has ~23 weeks of common curriculum and ~29 weeks of specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all five tracks, you will be prompted to choose your specialization.
Read More

When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

Deep Learning: Engineers, Software and IT Professionals

Natural Language Processing: Engineers, Software and IT Professionals

Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert

Data Engineering: Software and IT Professionals

When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

Deep Learning: Engineers, Software and IT Professionals

Natural Language Processing: Engineers, Software and IT Professionals

Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert

Data Engineering: Software and IT Professionals

Read More
No. You can choose whatever specialization you like once you are through the common curriculum. However, we would urge you to take up the recommendation provided by us as this based on a sophisticated rule engine and is meant to give you the best outcome for your background which will, in turn, make it easier for you to switch to a data role.
No. You can choose whatever specialization you like once you are through the common curriculum. However, we would urge you to take up the recommendation provided by us as this based on a sophisticated rule engine and is meant to give you the best outcome for your background which will, in turn, make it easier for you to switch to a data role.
Read More
Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.
Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.
Read More
Please find the link to the Program Specifications of the MSDS program on the LJMU website.
Please find the link to the Program Specifications of the MSDS program on the LJMU website.
Read More

1. What is the time commitment expected for the program?

At least 15 hours per week of time commitment is expected to be able to graduate from the program.

At least 15 hours per week of time commitment is expected to be able to graduate from the program.

Read More

Each of the fice specialisations will have a common ~29-week curriculum in which the time commitment will be exactly the same.

Each of the fice specialisations will have a common ~29-week curriculum in which the time commitment will be exactly the same.

Read More

1. How do I know if the program is right for me?

If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

Read More
Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​
Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​
Read More

There are 3 simple steps in the Admission Process which is detailed below:

Step 1: Submit Your Application

Fill out an application giving your basic profile details

Step 2: Give a selection test

Give a short 17 minutes aptitude test and get shortlisted

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the deposit amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

There are 3 simple steps in the Admission Process which is detailed below:

Step 1: Submit Your Application

Fill out an application giving your basic profile details

Step 2: Give a selection test

Give a short 17 minutes aptitude test and get shortlisted

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the deposit amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

Read More

upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.

The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

  • GRE score is greater than 300
  • GMAT score is greater than 650
  • CAT score is greater than 90 percentile
  • GATE score is greater than 500

upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.

The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

  • GRE score is greater than 300
  • GMAT score is greater than 650
  • CAT score is greater than 90 percentile
  • GATE score is greater than 500
Read More

Bachelor’s Degree with minimum 50% or equivalent passing marks. 

No coding experience required.

Bachelor’s Degree with minimum 50% or equivalent passing marks. 

No coding experience required.

Read More

1. 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. There shall be no refund applicable once the program has started. 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.

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. There shall be no refund applicable once the program has started. 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.

Read More

upGrad Learner Support

Available from 9 AM to 8 PM GMT (Monday - Friday).

Phone Number
Email Address

*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 on purpose.

Disclaimer

upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.