MSc Data Science Syllabus & Subjects 2025

The MSc Data Science syllabus covers the major subjects, tools, and theories of Calculus, Descriptive Statistics, and C-programming to understand different occurrences with a large amount of actual data. As you may know, MSc Data Science is a two-year full-time postgraduate degree that covers the major disciplines, techniques, and theories of Calculus, Descriptive Statistics, and C-Programming to understand numerous phenomena concerning a large set of real-world data. Furthermore, statistics, mathematics, coding, machine learning, and other topics are commonly covered in MSc Data Science subjects.

The purpose of the MSc Data Science course is to produce competent and analytical scientists and researchers who can unravel even the most challenging data to push the world's technological frontiers. It makes the learner aware of the conditions and hardships they must become acclimated to survive in this harsh and competitive world while still pursuing something that would lead them to their goal. Students may pursue jobs as data analysts, data architects, business analysts, data scientists, research data scientists, statistical programmers, operations managers, and operations analysts after completing this course. Students can obtain a detailed understanding of the MSc Data Science syllabus and subjects by scrolling down this page till the end.

Related Link: Top MSc Data Science Colleges in India 2025

The MSc Data Science programme is a technically challenging degree that requires students to have a strong foundation in this field. If you want to be considered for an MSc in Data Science, then you must be knowledgeable in the required programming languages, mathematics, calculus, and statistics. During this two-year programme, you will also be able to develop skills in data analysis, machine learning and deep learning, data visualisation, big data, etc.

Students can check out the semester-wise syllabus for MSc Data Science as provided below. The syllabus for this course may vary from institution to institution, but here are some of the standard subjects that are usually covered under the syllabus of MSc Data Science:

MSc Data Science 1st Year Syllabus

The table below contains the list of MSc Data Science subjects in the first year (semester 1 and semester 2):

MSc Data Science 2nd Year Syllabus

The table below contains the list of MSc Data Science subjects in the second year (semester 3 and semester 4):

Also Read: Data Science Courses Admissions 2025

The MSc Data Science subjects are designed to give students a thorough understanding of the fundamentals. For a deeper knowledge of complex application-related issues, the MSc Data Science syllabus incorporates both theoretical classroom-based teaching and practical visit sessions. For greater flexibility throughout this course, the curriculum includes both core and elective subjects. The following is the list of subjects for the MSc Data Science programme:

• Statistics
• Coding
• Business Intelligence
• Data Structures
• Mathematics
• Machine Learning
• Algorithms

The list of MSc Data Science subjects includes Calculus, Descriptive Statistics, C programming, and the use of several technologies, including ML, DL, Python, and Sparkn. Furthermore, these topics are covered in all MSc data science courses, including full-time, online, and classroom programmes. The following pointers list the core MSc Data Science subjects for all semesters in data science colleges across the country:

• Advanced Python Programming for Spatial Analytics
• Applied Statistics
• Data Mining and Algorithms
• Fundamentals of Data Science
• Image Analytics
• Introduction to Geospatial Technology
• Machine Learning
• Mathematics for Spatial Science
• Python Programming
• Spatial Big Data and Storage Analytics

Apart from the core subjects, candidates will have to select optional or elective MSc Data Science subjects to fulfil their academic credits. These subjects, however, differ from one college or university to another as each institute provides a list of optional subjects they offer. Among these, a student should select the ones that interest them the most or the ones most beneficial to their career objectives. Listed below are optional MSc Data Science subjects that students can use for reference.

For Data Analytics:

For Data Mining:

The following table shows some other elective MSc Data Science subjects:

The main practical papers listed below are some of the MSc Data Science subjects found in the syllabus. The list of lab subjects for MSc Data Science may vary depending on the academic institution.

• Database Management System Lab
• Fundamentals of Programming Lab
• Big Data Lab
• Data Visualisation Lab
• Business Analytics Lab
• Data Mining and Data Warehousing Lab
• Machine Learning Lab
• Deep Learning Lab
• Internet of Things Lab

Within the broad field of data science, there are several sub-domains. As a result, data science has many specialisations. You can develop solid foundations in each of these specialisations with the help of the MSc Data Science syllabus. This will also be highly beneficial if you want to specialise in a field at a higher level to get more in-depth information about that particular field. The specialisations for MSc Data Science subjects are listed below.

The MSc Data Science is a two-year course that can be pursued in the regular or distance mode. With the help of this MSc Data Science Distance programme syllabus, students will be better able to detect and understand concepts in data science in the future by developing their abstract thinking and design skills. Students can check out the detailed MSc Data Science syllabus for distance learning as given below:

MSc Data Science 1st Year Syllabus: Distance Programmes

Check out the MSc Data Science 1st year syllabus for distance programmes in the table attached below:

MSc Data Science 2nd Year Syllabus: Distance Programmes

Check out the MSc Data Science 2nd year syllabus for distance programmes in the table attached below:

The majority of Indian colleges and universities source admission to their MSc Data Science programs based on candidates' performance on an entrance exam. To get admission, an applicant should attain the required minimum percentage of marks, or the "cut-off." The cutoff varies depending on the college.

Multiple Choice Questions (MCQs) and Numerical Question Answers (NQAs) are usually used in MSc Data Science entrance exams. The following is a discussion about the entrance exam syllabus for MSc Data Science:

IIT JAM: The syllabus for IIT JAM includes topics such as Biochemistry, Molecular Biology, Plant Biology, Biotechnology, Bonding in molecules, Chemistry of organic compounds, Probability, Chemical Thermodynamics, Chemical Kinetics, Electrochemistry, and more.

CUET PG: The syllabus for CUET PG includes topics such as Agronomy, Genetics & Plant Breeding, Soil Science & Agricultural Chemistry, Entomology, Agricultural Economics, Mycology & Plant Pathology, Agricultural Engineering & Statistics, Agricultural Extension Education, Plant Physiology, Horticulture, Mathematics, etc.

BITSAT: The syllabus for BITSAT includes topics such as Bernoulli’s theorem, Collisions, Conservation of momentum, Ecology and Environment, Electric dipole, Gauss’ law and its applications, Genetics and Evolution, Hydrogen, Integral calculus, Momentum of a system of particles, Motion with constant acceleration, Newton’s law of gravitation, Power, Probability, Projectile motion, Redox reactions, Statistics, Stereochemistry, Uniform circular motion, Verbal reasoning, Viscosity and Surface Tension, Vocabulary, etc.

KSET: The syllabus for KSET includes topics such as Anthropology, Archaeology, Chemical Sciences, Commerce, Criminology, Earth Sciences, Economics, Education, Electronic Science, English, Environmental Sciences, Folk Literature, Geography, Hindi, History, Home Science, Kannada, Law, Library & Information Science, Life Science, Management, Marathi, Mass Communication & Journalism, Philosophy, Physical Education, Political Science, Psychology, Sanskrit, Social work, Sociology, Tourism and Administration, Urdu, and so on.

The best books for MSc Data Science are provided by numerous authors and publishers both online and offline. However, a student should invest in reference books after conducting a thorough study based on their chosen specialisation. Furthermore, the MSc Data Science syllabus and subjects pdf, which is freely accessible online, is designed to aid with conceptual understanding. The best MSc Data Science books include the following:

The course structure is intended to contain both core and optional MSc Data Science subjects. In the first year, students are only introduced to fundamental knowledge through basic subjects. Students are introduced to a particular MSc Data Science syllabus related to their specialisation during the second year. The knowledge of theoretical concepts is also enhanced through practical classes. The following is the MSc Data Science course structure:

• IV Semesters
• Core and Main Subjects
• Elective and Optional Subjects
• Practical Meet-ups and Visits
• Research Project/ Thesis Submission