A Master of Science in Data Science & Analytics provides a comprehensive understanding of data modelling, predictive analytics, and computational techniques, preparing students to transform raw data into meaningful insights. Offered by JAIN (Deemed-to-be University), recognised as one of the leading MSc Data Science university in Bangalore, the programme balances theoretical learning with practical training to ensure graduates are prepared for careers across diverse sectors.
With the exponential growth of digital information, pursuing MSc Data Science in Bangalore has become a preferred choice for students aiming to master analytical thinking and computational problem-solving. The MSc Data Science syllabus integrates subjects such as statistical modelling, big data analytics, machine learning, cloud computing, and visualisation tools. Alongside academic depth, students gain hands-on exposure to programming languages like Python and R, as well as platforms including Tableau and SAS, strengthening both technical expertise and practical application.
The programme also provides opportunities for experiential learning through projects, internships, and case studies in collaboration with industries, ensuring students graduate with applied knowledge and professional readiness. Through the Honours and Research track, learners can further explore areas such as deep learning, artificial intelligence, and data security, positioning themselves for advanced roles or higher academic research.
School of Sciences
#34, 1st Cross, J C Road
Bangalore – 560027
P: +91 80434 30100
MSc Data Science eligibility requires candidates to hold a Bachelor’s degree from a recognised university with Mathematics, Statistics, or Computer Science as a mandatory subject, irrespective of whether they studied in Science, Commerce, or Arts streams. Prior knowledge of computer programming is also expected.
Core Courses
Skill Courses
Open Elective 1
Learning Labs
Core Courses
SKill Courses
Open Elective 2
Learning Labs
Core Courses
Skill Courses
Learning Labs
Project - I
Core Courses
Skill Courses
At JAIN (Deemed-to-be University), a renowned MSc Data Science university in Bangalore, the Career Enhancement Programmes are structured to bridge the gap between academic learning and industry requirements. By combining technical training with professional development, these programmes prepare students for dynamic roles in data-driven industries. Workshops and seminars focus on statistical analysis, data visualisation, machine learning applications, and real-world business intelligence strategies. Alongside technical mastery, students refine essential skills such as communication, leadership, and problem-solving, further enhanced by exposure to industry experts through conferences, internships, and collaborative projects.
Graduates from JAIN (Deemed-to-be University), offering one of the most comprehensive MSc Data Science and Analytics programmes, are equipped for versatile career paths in industries that increasingly rely on data-driven decision-making. Career opportunities include:
This dynamic career landscape highlights the relevance and future demand for professionals trained through an MSc in Data Science, ensuring graduates are positioned for long-term success in data-centric roles.
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Yes. Coding is an essential skill for data science. It helps data scientists analyse data, create models, and communicate findings.
A Master's in Data Science can be challenging since students need a solid background in Math, Statistics, and Computer Programming. The curriculum also involves learning new technologies and tools like SQL, Python, R, and machine learning libraries. However, it can be rewarding with effective time management and a well-planned study routine.
To be eligible for an MSc in Data Science, students typically need a Bachelor's degree in Computer Science/ Mathematics/ Statistics or any related and relevant field with a minimum aggregate of 60% from a recognised university.
Data analytics has a wide scope, including business, healthcare, finance, marketing, and more. It can help businesses make better decisions by analysing data.
Data Science and Analytics is a domain that covers activities such as collecting, cleansing, and analysis of information using statistical methods, machine learning, and other computational techniques. It draws out valuable information and gives well-timed predictions about upcoming trends.