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    MSc Data Science Syllabus & Subjects 2023

    MSc Data Science Syllabus & Subjects Overview

    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 in order to understand numerous phenomena in relation to a large set of real-world data. 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.

    The MSc Data Science syllabus covers the major subjects, tools, and theories of Calculus, Descriptive Statistics, and C-Programming in order to understand different occurrences in relation to a large amount of actual data. Statistics, mathematics, coding, machine learning, and other topics are commonly covered in M.Sc. data science courses.

    The M Sc Data Science is a postgraduate program that has a course duration of two years further divided into four semesters. Its concept is to produce competent and analytical scientists and researchers who can unravel even the most challenging data in order to push the world's technological frontiers.It makes the learner aware of the conditions and hardships they must become acclimated to in order to survive in this harsh and competitive world while still pursuing something that would lead them to their goal. Students can obtain a detailed understanding of the field and subject matter by taking the M.Sc. Data Science course.

    MSc Data Science Year Wise Syllabus

    The MSc Data Science is a technically challenging degree that requires students to have a foundational understanding of the field, as has already been stated.

    To be considered for an MSc Data Science, a candidate has to be knowledgeable in the required programming languages, mathematics, calculus, and statistics. Other abilities that an MSc Data Science candidate will develop include data analysis, machine learning and deep learning, data visualization, big data, and so on.

    The description of the  MSc Data Science syllabus is provided below. Based on information gathered from several colleges, this is a standard syllabus. As a result, the syllabus at each college may differ slightly.

    MSc Data Science First Year Syllabus

    The first year syllabus of MSc Data Science is provided below-

    MSc Data Science Syllabus Semester 1MSc Data Science Syllabus Semester 2 
    Advanced Database Management Systems Calculus and Linear Algebra for Data Scientists 
    Applied Probability and Probability Data Analysis and Visualisation 
    DistributionDistributed Algorithms & Optimisation with Hadoop, Spark  
    SQL ProgrammingAdvanced Machine Learning 
    Python and R Programming Deep Learning 
    Computational Mathematics  Stochastic Processes 
    Statistical Inference

    MSc Data Science Second Year Syllabus

    The second year MSc Data Science syllabus is provided below-

    MSc Data Science Syllabus Semester 3MSc Data Science Syllabus Semester 4 
    Cloud Native Development Natural Language Processing 
    Data Structures and AlgorithmsApplied Business Analytics 
    Java Programming Data Engineering 
    Optimisation Data Mining and Warehousing 
    Web Technologies Programming in SAS for Analytics 
    Bayesian Statistical Modelling Research Methodology
    Longitudinal Data Analysis  Major Project
    Minor Project

    MSc Data Science Subjects

    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 the course of the two years, the curriculum includes both core and elective subjects. The following is the list of MSc Data Science subjects:

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

    MSc Data Science Common Subjects for All Semester

    Some of the common subjects that a student of MSc Data Science has to study include coding, statistics, data structures, algorithms and related subjects. The list of MSc Data Science common subjects depends on the institute in which students are enrolled.

    MSc Data Science Optional Subjects

    Apart from these basic courses, you will have to select optional subjects to fulfill your credits. The MSc Data Science Common Subjects for All Semester are-

    MSc Data Science Subjects Semester-3MSc Data Science Subjects Semester-4
    Group-A: Data AnalyticsGroup-A: Data Analytics
    Information RetrievalBusiness Intelligence
    Number Theory and CryptographyHigh-Performance Computing (HPC)
    Pattern RecognitionInformation Security & Cryptography
    Regression AnalysisPredictive Analytics
    Theory of ComputationParallel and Distributed Computing
    -Soft Computing
    -Time Series Analysis
    Group B: Data MiningGroup B: Data Mining
    Artificial IntelligenceComputer Graphics
    Computer NetworksImage Processing
    Clustering TechniquesNetwork Security
    Graph Theory and Discrete MathematicsNatural Language Processing
    Text MiningSignal Processing
    -Social Network Aggregators
    -Web Intelligence

    Other MSc Data Science Optional Subjects are- 

    Deep LearningSystem Dynamics Simulation
    IOT Spatial AnalyticsSpatial User Interface Design and Implementation
    Research Modelling and Implementation Genomics
    Exploratory Data AnalysisMultivariate Analysis
    Stochastic Process Programming for Data Science in R
    HadoopImage and Video Analytics
    Internet of ThingsIdentification and Data Collection

    MSc Data Science Lab Subjects

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

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

    Specializations Offered in MSc Data Science

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

    The MSc Data Science Specializations are listed below.

    Data Mining & Statistical Analysis Business Intelligence & Strategy Making
    Data Engineering & Data Warehousing Data Visualization 
    Database Management & Data Architecture Operations-related Data Analysis
    Machine Learning & Cognitive SpecialistMarket Data Analytics 
    Cybersecurity Data Analysis Deep Learning 

    Syllabus for MSc Data Science Distance Programs

    MSc Data Science is a two-year PG program that is being provided via online learning by numerous institutions in India as of 2022. With the help of this MSc Data Science Distance syllabus, it is expected that students would be better able to detect and understand concepts in data science in the future by developing their abstract thinking and design skills. The MSc Data Science Distance Syllabus is provided below-

    Syllabus for MSc Data Science Distance Programs First Year

    The table below provides the detailed first year MSc Data Science Syllabus for distance programs-

    MSc Data Science Subjects Semester 1MSc Data Science Subjects Semester 2
    Mathematics for Spatial SciencesSpatial Big Data and Storage Analytics
    Applied StatisticsData Mining and Algorithms
    Fundamentals of Data ScienceMachine learning
    Python ProgrammingAdvanced Python Programming for Spatial Analytics
    Introduction to Geospatial TechnologyImage Analytics
    Programming for Spatial SciencesSpatial Data Base Management
    Business CommunicationFlexi-Credit Course
    Cyber Security
    Integrated Disaster Management

    Syllabus for MSc Data Science Distance Programs Second Year

    Give below is the second year syllabus of MSc Data Science Distance program-

    3rd Semester4th Semester
    Spatial ModelingIndustry Project
    Summer ProjectResearch Work
    Web Analytics
    Artificial Intelligence
    Flexi-Credit Course
    Predictive Analytics and Development

    MSc Data Science Entrance Exam Syllabus

    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.

    There are several distinct entrance exams available nowadays. Entrance exams come in a variety of forms. There are entrance exams for universities, states, and even the national level.

    Multiple Choice Questions (MCQs) and Numerical Question Answers (NQAs) are frequently used in MSc Data Science admission exams. General aptitude, logical analysis, and core science disciplines are the subjects.

    Some of the significant entrance exams in India are listed here if you want to pursue an MSc Data Science.


    The Joint Admission Test (IIT JAM) is a national-level entrance exam conducted by the Indian Institute of Technology. For admission to master's and post-diploma programs, the exam is conducted on a rotational basis.


    The Central Universities Entrance Test (CUET) is a national entrance test that offers students from all around the nation a common starting point. To be eligible for admission, you must pass the CUET exam if you want to apply to any central university or any other institution in the nation.


    BITS, a premier university of higher education in information technology and sciences in India, conducts the Birla Institute of Technology and Science Admission Test (BITSAT).

    Some other M Sc Entrance Exams are-

    1. DUET- Delhi University Entrance Test
    2. BHU PET- Banaras Hindu University Post-graduate Entrance Test
    3. Christ University Entrance Test

    The MSc Data Science Entrance Exams usually follow a very common pattern to evaluate students for admission into the course. The overview of MSc Data Science Entrance Exams Syllabus is given below-

    • Section I - Quantitative Aptitude: Logical Reasoning and Verbal Ability.
    • Section II: Computer Science 
    • Data structures: Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs. 
    • Programming concepts: arithmetic, logical, bitwise, and conditional operators, iteration, recursion, object-oriented programming 
    • Algorithms: Searching, sorting, asymptotic worst-case time and space complexity, algorithm design techniques: greedy, dynamic programming and divide-and-conquer, linear search, binary search, graph search, minimum spanning trees, shortest paths. 
    • Section III: Mathematics 
    • Section IV: Statistics

    MSc Data Science Important Books

    M.Sc. Data Science books are provided by numerous authors and publishers both online and offline. The M.Sc. Data Science syllabus pdf, which is accessible online, is designed to aid with conceptual understanding. Students should invest in reference books after conducting thorough study. The best M.Sc. data science books include the following:

    Practical Statistics for Data ScientistsPeter Bruce and Andrew Bruce
    Introduction to ProbabilityJoseph K. Blitzstein and Jessica Hwang
    Introduction to Machine Learning with Python: A Guide for Data ScientistsAndreas C. Müller and Sarah Guido
    Python for Data AnalysisWes McKinney
    Python Data Science HandbookJake VanderPlas
    R for Data ScienceHadley Wickham and Garret Grolemund
    Understanding Machine Learning: From Theory to AlgorithmsShai Shalev-Shwartz and Shai Ben-David
    Deep LearningIan Goodfellow, Yoshua Bengio, and Aaron Courville
    Mining of Massive DatasetsJure Leskovec, Anand Rajaraman, Jeff Ullman

    MSc Data Science Course Structure

    The M.Sc Data Science course structure is intended to contain both core and optional studies. The programme is structured into four semesters over two years and includes the Data Science M.Sc syllabus

    In the first year, students are only introduced to fundamental knowledge through basic MSc Data Science subjects. Students are introduced to particular syllabus related to their specialization during the second year. The knowledge of theoretical concepts is also enhanced through practical classes. According to the  M.Sc Data Science syllabus, the thesis submission and final assessments must be completed by the conclusion of the fourth semester. The following is the course structure:

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

    Related Questions

    I want to read in IARI
    -Moumita -Updated on Jul-31-20222 Answers

    Abhinav Chamoli, CollegeDekho Expert

    Dear Student,

    The Indian Agricultural Research Institute (IARI), Delhi offers the Master of Science (M.Sc.) programme in a wide range of specializations.

    The eligibility critieria for these programmes include a bachelor's / B.Sc degree in a related discipline.

    Admissions to these programmes are granted on the basis of merit created on the marks scored in an entrance exam conducted by the education division of ICAR.

    Please feel free to write back to us if you need information about any particular M.Sc specialization in IARI.

    Thank you.


    arzoo, Student / Alumni

    The demand for educated embryologists to assist in reproductive In-vitro fertilisation procedures in Vitro Fertilization (IVF) centres has been expanding across India. Clinical Embryology will provide UG candidates in the field of biological sciences with new job prospects in the field of embryology. The programme will enable students to get a thorough understanding of both male and female reproductive systems, as well as associated illnesses that cause infertility and assisted reproductive procedures. Career Prospects: · Fertility centers · Marketing industry · Research industry · Academics Being alumni of LPU, I will share the details of this programme and LPU, I’ll start with eligibility. Eligibility Criteria: You should have passed with 60% aggregate marks in Bachelor’s Degree in (Applied Medical Science or Biosciences or Medical Science and Allied Medical or Life Sciences) or equivalent, subject to qualify for the LPUNEST. LPU is spread over 600 acres campus having 30000+ students and 3500+ faculty and staff. Many students come there across the world which made me feel like in a foreign country. Scholarships: I got a maximum scholarship while studying there. LPU provides very good scholarships to bright students who have a good academic record, sports, or extracurricular activities achievement. LPU also helps students in the Education loan facility. For further details you can also visit the website. All the best!

    priyal gogna, Student / Alumni

    LPU understands the social corporate responsibility and believes in holding hands of the needy. Hence, in a bid to owe the social responsibility towards the needy, and give a token to the meritorious, LPU offers a range of scholarships and financial aid. You do not have to apply for a scholarship every time you pay the fee. What you get at the time of admission, continues till the course is over. However, the criteria are different for those who have sought admission through sports quota, board toppers, and performing arts. If you are a board topper and someone from the sports category and extracurricular performance category, you will have to either maintain a CGPA or keep performing in sports or extracurricular activities as the case may be. Otherwise, if you have got a scholarship through LPU NEST then you are not bound to maintain your academic or sports performance. There are other scholarships the university offers. LPUNEST Marks based (for previous two qualifying Exams) Performance in other National Level Entrance test Performance in Sports, Performance in Cultural and Co-curricular Activities. Social Service, R&D and Bravery Activities . Special Scholarship for Toppers of Education Board Financial Aid for Defense /CAPF and their dependents Financial Aid for Orphan Candidates Financial Aid for Persons with certain disabilities LPUNEST Study Grant Minorities Transgender Non Traditional student Need Based-Financial Aid EWS scholarship for those whose family income is less than 5 lacs Single girl child Single Mother Orphan. LPU offers a special scholarship of Full Tuition fee waiver to Indian resident orphan students whose both parents are dead. The university gives scholarships based on a first come first serve basis to 10 applicants. The candidate having a benchmark disability of more than 70% and/or Locomotor disability caused by spinal cord injury can avail the benefit of a full fee waiver. However, the LPU committee scrutinizes the case. LPU offers exclusive Scholarship schemes for Tibetan Students studying in CTA (Central Tibetan Administration) Schools and Students studying in different schools managed by Vidya Bharati Akhil Bharatiya Shiksha Sansthan where based on tests conducted in schools of the concerned organization and/or recommendation of the concerned authority of the organization, certain students may be offered full tuition fee waiver.

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