Data Science MSc – Specialization: Data Engineering III
Dual-accredited Masters Degree program, offered in collaboration with UK's Liverpool John Moores University (LJMU) and India's IIIT Bangalore. Masters in Data Science Degree from Liverpool John Moores University (LJMU). The university ranks among the top in analytics and data science courses. Gain additional certification from IIIT Bangalore, a premier institution in India ranked 74th in the Engineering category of the National Institutional Ranking Framework (NIRF) in 2024. A globally recognized degree at 1/10th the cost of on-campus programs. Fortnightly Group Mentorship sessions with industry professionals to deepen your knowledge and insights. Daily Doubt Resolution Support to ensure you never feel stuck. High-Performance Coaching (1:1) to push you towards your highest potential. A qualification that is recognized in the US and Canada. Exclusive access to upGrad's data science course job opportunities portal.
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Course Start Date:
Starting Soon
Application Deadline:
15th september 2025
Duration:
18 Months
₹ 5,20,000
Overview
Throughout this program, you will gain in-depth and hands-on expertise in the most popular tools and technologies in courses for data science domain. These practical skills will prepare you to excel in diverse, data-driven roles, from building predictive models to solving complex business problems, ensuring you're ready to thrive in today's rapidly evolving job market. The program combines academic rigor with practical application through 60+ case studies and 14+ projects that simulate real-world challenges. You'll learn data processing techniques for transforming raw data into usable insights, machine learning to build predictive models and algorithms, big data management and analysis, and data visualization skills to create impactful visual representations of complex information. The curriculum covers cutting-edge topics like Generative AI and offers five specialization tracks to align with different industry requirements.
Why MSc (Master of Science)?
The MS in Data Science program from Liverpool John Moores University (LJMU) and IIIT Bangalore offers several distinct advantages that make it an exceptional choice for aspiring data professionals. Unlike many programs that focus primarily on theory, this curriculum covers cutting-edge topics like Generative AI and is meticulously curated to meet industry demands. Students receive dual certification - a Master's degree from LJMU and an Advanced Certification from IIIT Bangalore, both globally recognized and WES-approved, which enhances international career opportunities. The program features 60+ case studies and 14+ projects that simulate real-world challenges, providing practical expertise beyond theoretical knowledge. With five specialization options tailored to different industry requirements, students can customize their learning path according to their career goals. Comprehensive career support includes 1:1 mentorship, access to global job opportunities, industry fairs, and career counseling. The live online classes allow real-time interaction with faculty and industry experts, combining the quality of traditional education with digital convenience. Most notably, this program offers premium education at a fraction of the cost of similar global programs, providing exceptional return on investment.
What does this course have to offer?
Key Highlights
Dual certification from LJMU and IIIT Bangalore
Cutting-edge curriculum covering Generative AI
60+ case studies and 14+ projects for hands-on experience
Five specialization options for customized learning
Extensive 1:1 mentorship and career support
Live online classes with real-time faculty interaction
Globally recognized degree at 1/10th the cost
Fortnightly group mentorship sessions
Daily doubt resolution support
High-performance 1:1 coaching
Access to upGrad's data science job opportunities portal
Who is this programme for?
The MS in Data Science program is designed for a diverse range of professionals looking to enter or advance in the data science field. The program caters to:
Freshers and early-career professionals (36% of students have 0-2 years of experience) seeking to build a strong foundation in data science
Mid-career professionals (37% have 2-8 years of experience) looking to specialize or shift their career path
Seasoned professionals (27% have 8+ years of experience) aiming to update their skills with the latest technologies
Professionals from IT and services backgrounds (38% of students)
Professionals from banking and financial services (14%)
Professionals from education, healthcare, and various other sectors seeking to leverage data science in their respective fields
Individuals interested in roles such as Data Scientist, Machine Learning Engineer, AI Specialist, Big Data Engineer, Data Science Consultant, Business Intelligence Manager, or Quantitative Analyst
Minimum Eligibility
Bachelor's degree with 50% mandatory
Who is the programme for?
The MS in Data Science program has a straightforward admission process designed to select candidates with the necessary academic background. The primary eligibility requirement is a Bachelor's degree with a minimum of 50% marks, which is mandatory for all applicants. The application process consists of a user-friendly online registration that involves four simple steps. First, candidates need to submit their application by filling out a form with basic profile details. Next, applicants take a short 17-minute aptitude test to assess their suitability for the program. Upon successful completion of the test, qualified candidates are shortlisted and receive an offer letter. To secure their place in the program, shortlisted candidates need to pay a block amount of INR 15,000 to confirm their candidature. This process ensures that the program admits students who have the foundation to succeed in this challenging field while keeping the application process accessible and efficient.
Important Dates
Selection process
How to apply?
Curriculum
The MS in Data Science curriculum is comprehensive and structured to develop advanced analytical and technical skills. The program begins with foundational courses like Data Toolkit, which covers Python programming, data manipulation, visualization, and exploratory data analysis. Students then progress to Machine Learning-1, learning key concepts such as linear and logistic regression, decision trees, unsupervised learning, and basics of NLP. The program offers five specialization tracks: Data Analytics, Business Analytics, Natural Language Processing, Deep Learning, and Data Engineering. The Data Analytics specialization covers data modeling, advanced SQL, cloud computing with AWS, analytics with Spark, and visualization tools like Tableau and PowerBI. Business Analytics focuses on model selection, time series forecasting, and analytical problem-solving, while incorporating OpenAI APIs and Whisper API for practical applications. The Deep Learning track explores neural networks, convolutional networks, and applications in computer vision. Data Engineering covers database modeling, Hadoop, MapReduce, and building automated data pipelines. The program culminates with Research Methodologies and a Master's Dissertation, where students undertake independent research under faculty supervision. Throughout the program, students gain hands-on experience with tools such as Python, SQL, Tableau, PowerBI, AWS, TensorFlow, Keras, and various Apache frameworks, ensuring they graduate with practical, industry-relevant skills.
There are 10 semesters in this course
The learning experience in the MS in Data Science program combines academic rigor with practical application in a flexible online format designed for working professionals. The program features 500+ hours of learning content delivered through a personalized AI-powered platform that offers cutting-edge curriculum materials, live sessions, and mentorship from industry experts. Students benefit from 106+ live sessions that allow real-time interaction with faculty, fostering a dynamic learning environment despite the online format. The program emphasizes hands-on experience through 60+ case studies and 14+ projects that simulate real-world business challenges, enabling students to apply theoretical knowledge to practical situations. Personalized support is a cornerstone of the learning experience, with features including fortnightly group mentorship sessions with industry professionals, daily doubt resolution support, and high-performance 1:1 coaching to maximize potential. The curriculum incorporates the latest trends in data science, including Generative AI, ensuring students stay current with industry developments. Throughout the program, students work with industry-standard tools and technologies such as Python, SQL, Tableau, PowerBI, AWS, and various Apache frameworks, developing practical skills that are immediately applicable in the workplace. This comprehensive approach combines the flexibility of online learning with the depth and engagement of traditional education, creating a transformative learning journey.
Course 1: Advanced Math & Programming
5 Weeks to complete
Course 2: Data Analysis & Exploration
5 Weeks to complete
Course 3: Cloud Computing & Big Data
5 Weeks to complete
Course 4: Foundations of ML
5 Weeks to complete
Course 5: Deep Learning & NLP
5 Weeks to complete
Data Analysis
16 Weeks to complete
Data Engineering
16 Weeks to complete
Research Methodologies
Master's Dissertation
DATA ENGINEERING III
Programme Length
The MS in Data Science program offers students the resources and environment of two prestigious institutions: Liverpool John Moores University (LJMU) and the International Institute of Information Technology Bangalore (IIITB). LJMU brings 200 years of academic legacy and global recognition, ranked by QS World University Rankings, THE (Times Higher Education), and US News for its academic rigor and innovative teaching. The UK-based education system offers a globally respected curriculum that balances theory with practical skills. IIITB complements this with its standing as a premier Indian institution, ranked 74th in the Engineering category of the NIRF in 2024, and known for excellence in computer science and data science education. While the program is delivered online, students gain access to a vibrant learning community of peers from diverse professional backgrounds—38% from IT, 14% from banking and financial services, and others from sectors including education and healthcare. This diversity enriches discussions and networking opportunities. Students also benefit from interaction with faculty members like Prof. Chandrashekar Ramanathan (Dean Academics at IIITB), Prof. Tricha Anjali (Ex-Associate Dean), and Dr. Debabrata Das (Director, IIITB), who bring extensive academic and industry experience. Upon completion, graduates join an alumni network of 4,400+ professionals working at leading companies like Amazon, Microsoft, Myntra, American Express, Tech Mahindra, and Accenture, creating valuable connections for future career growth.
Tuition Fee
The Masters in Data Science program offered by Liverpool John Moores University in collaboration with IIIT Bangalore is positioned as a cost-effective alternative to traditional on-campus programs. Priced at INR 5,20,000 with no applicable taxes, the program provides a globally recognized degree at just one-tenth the cost of comparable international offerings. Students have the flexibility to pay in monthly installments, starting at INR 12,583 per month, over the course of the 17-month program. To reserve a seat, an upfront fee of INR 15,000 is required, with the remaining balance to be paid within 7 days of reservation or by the batch start date—whichever comes first. Additionally, the program features a "Refer and Earn Rewards" initiative, allowing participants to earn up to INR 80,000 in cashback or vouchers for every successful referral, further enhancing its value proposition.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The 18-month online Masters in Data Science program offers a comprehensive blend of theory and practical skills through core courses like Advanced Math, Data Analysis, Cloud Computing, ML, Deep Learning & NLP, along with a Master's Dissertation and specialization tracks. It features 106+ live sessions, 1:1 mentorship, industry expert guidance, and daily doubt resolution. Students gain hands-on experience via 60+ case studies, 30+ projects, and tools like Python, MySQL, Pandas, ChatGPT, and more. Support includes career counseling and upGrad Learner Support available daily, making it a robust, industry-aligned learning experience.
University Experience
The Masters in Data Science program offers a dual-credential experience from two prestigious institutions—Liverpool John Moores University (LJMU) and IIIT Bangalore (IIITB). LJMU, a globally recognized UK university with a 200-year legacy, provides the same degree as its on-campus program, accepted in the US and Canada. IIITB awards an Executive Diploma, WES-recognized as equivalent to a 1-year PG Diploma in Canada, and is a top-ranked Indian institute known for excellence in AI and data science. The program combines research-driven learning with a diverse, professional peer group and faculty from both institutions. Delivered via an AI-powered platform with live sessions, mentorship, and industry networking, it creates a rich online university experience backed by a 4.4K+ alumni network working at top global firms.
Word from the Directors
Chandrashekar Ramanathan
Dean Academics
Prof. Chandrashekar has a PhD from Mississippi State University and experience of over 10 years in several multinational organisations.
Testimonials
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About the University
Liverpool John Moores University (LJMU) is a public research university located in Liverpool, England. Established in 1823 as the Liverpool Mechanics' School of Arts, LJMU evolved over the centuries, merging with various colleges and gaining university status in 1992. Named after Sir John Moores, a philanthropist and entrepreneur, LJMU embodies his ethos of creating opportunities for all through education. The university offers over 250 undergraduate and postgraduate programs across disciplines such as Business, Engineering, Health Sciences, Arts, and Computer Science. With a strong emphasis on employability, LJMU integrates industry placements and work-based learning into its curriculum. Known for its urban campus and state-of-the-art facilities, LJMU has become one of the largest universities in the UK, fostering academic excellence and community engagement.
#801–850
QS World University Ranking (2025)
#2
Uni Compare Top 100 University Rankings (2025)
28,420
Total Enrollment:
Affiliation & Recognition
Northern Consortium
Career services
Liverpool John Moores University provides comprehensive career services through its dedicated Student Futures team. These services aim to equip students with the skills and confidence needed to succeed in their chosen careers. Students can access personalized one-on-one career guidance sessions to explore career pathways, refine their CVs, prepare for interviews, and develop job search strategies. The Careers Zone offers digital resources covering topics like aptitude tests, LinkedIn profile optimization, and creative CV building. LJMU integrates work-based learning into its curriculum through placement years, internships, volunteering opportunities, and graduate internship programs. The university’s partnerships with leading businesses ensure that students gain practical experience aligned with industry trends. The Start-Up Hub further supports entrepreneurial students by offering workshops on freelancing and business development.
95%
Placement Rate
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
15th september 2025
Duration:
18 Months
₹ 5,20,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.