MSc Data Science Syllabus, Subjects, Yearly, Semester, Top Colleges, Books

Q: What are the electives in MSc Data Science?

The electives in MSc Data Science:Computational Linguistics Advanced PythonData Structures, Objects, and Algorithms in PythonTime SeriesOptimizationAdvanced Analytics and Applied Math for Streaming and High Dimension Data and Applications.

Q: What can be done after MSc Data Science?

Courses that can be done after MSc Data Science:PhDMBAM.Phil

Q: What are the project topics of MSc Data Science?

The project topics of MSc Data Science:Climate Change Impacts on the Global Food Supply.Fake News Detection.Human Action Recognition.Forest Fire Prediction.Road Lane Line Detection.

Q: What are the job options after MSc Data Science?

The job options after MSc Data Science:Data Analytics.Business Analyst.Data Analytics Manager.Data Architect.Data Administrator.Business Intelligence Manager.

Sounak Banerjee

Associate Content Manager

M.Sc in Data Science is a two-year postgraduate course that deals with the major disciplines, techniques, and theories of Calculus, Descriptive Statistics, and C-Programming. The minimum Master in Data Science eligibility is for the students to have pursued a UG in Bachelor's degree of mathematics, statistics, or computer science with a minimum aggregate of 50% from a recognized institute. Students are supposed to pass the national level exams or other entrance exams conducted by colleges for admission.

See Also: Data Science Courses

The MSc Data Science selection process in India is primarily based on the student's entrance exam performance. Admission to the M.Sc Data Science is only offered to students who have completed the minimum level of the respective university and meet the entry requirements.

Some of the main subjects are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, and Machine Learning. Top companies hiring for M.Sc Data Science Graduates are Bridgei2i Analytics, Tiger Analytics, LatentView, Absolutdata, Innovaccer, and TEG Analytics.

Table of Contents

MSc Data Science Course Details
MSc Data Science Syllabus
MSc Data Science Subjects

3.1 First Year Subjects

3.2 Second Year Subjects

MSc Data Science Entrance Exam Syllabus
MSc Data Science Syllabus in Chennai Mathematical Institute
MSc Data Science Syllabus Sri Sathya Sai Institute
MSc Data Science Syllabus in Sharda University
MSc Data Science Syllabus in Kalyani University
MSc Data Science Top Colleges
MSc Data Science Books
MSc Data Science Syllabus: FAQs

MSc Data Science Course Details

Course Name	MSc Data Science
Course Level	Postgraduate
Duration	2 Years
Admission Process	Merit + Entrance Exam
Top Entrance Exam	CUCET, NIMSEE, IIT JAM, CUET, JNUEE
Eligibility	50% aggregate marks from any recognized college/university
Top Colleges	Loyola College, Chennai; Vellore Institute of Technology (VIT), Vellore; Fergusson College, Pune; and Annamalai University, Chidambaram
Average Fees	INR 2 Lakhs to INR 4 Lakhs

MSc Data Science Syllabus

Semester I	Semester II
Mathematical Foundation For Data Science	Mathematical Foundation For Data Science – II
Probability And Distribution Theory	Design and Analysis of Algorithms
Introduction to Geospatial Technology	Advanced Python Programming for Spatial Analytics
Principles of Data Science	Regression Analysis
Fundamentals of Data Science	Machine learning
Python Programming	Image Analytics
Semester III	Semester IV
Spatial Modeling	Industry Project
Summer Project	Research Work
Genomics	Research Publication
Natural Language Processing	Exploratory Data Analysis

MSc Data Science Subjects

MSc Data Science syllabus must be looked at before choosing the course. The detailed syllabus is mentioned below:

MSc Data Science First Year Subjects

Mathematical Foundations For Data Science: It covers, in particular, the basics of signal and image processing, imaging sciences and machine learning
Probability And Distribution Theory: A probability distribution gives the possible outcomes of random events. It is also defined as the set of possible outcomes of a random experiment based on the underlying sampling space.
Design and Analysis of Algorithms: Algorithm analysis is a part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational problem.
Introduction to Geospatial Technology: Geospatial Technology includes Geographic Information Systems, Remote Sensing, and Global Positioning Systems. It enables us to acquire data and use it for analysis, modeling, simulations, and visualization.
Advanced Python Programming for Spatial Analytics: This is a Python module that implements various iterator building blocks that together form an "iterator algebra" that allows you to efficiently build tools in the Python language.

Data Analytics Courses	Big Data Courses

MSc Data Science Second Year Subjects

Spatial Modeling: Spatial modeling is an important tool for performing geospatial analysis to understand the world and guide decision-making. In GIS, a spatial model is a formal language for expressing the mechanics of geographic processes and designing analytical workflows.
Genomics: Genomics is an interdisciplinary branch of biology focused on genome structure, function, evolution, mapping, and editing.
Research Publication: Publications make scientific information publicly available and enable the rest of the academic audience to assess the quality of research.
Natural Language Processing: Natural language processing is a subfield of linguistics, computer science, and artificial intelligence that deals with the interaction between computers and human language.
Exploratory Data Analysis: Exploratory data analysis refers to the essential process of conducting an initial investigation of data to discover patterns, detect anomalies, test hypotheses, and validate assumptions using summary statistics and graphs.

Data Engineering Courses	Data Science Certification Courses	Database Courses

MSc Data Science Entrance Exam Syllabus

Sections	Topics
Quantitative Aptitude	Logical Reasoning and Verbal Ability
Computer Science	Data structures, Programming concepts, Algorithms
Mathematics	Sequences and Series of real numbers, Functions of one real variable, Functions of two or three variables, Integral calculus, Differential equations, Linear algebra
Statistics	Probability, Random Variables, Standard Distributions, Joint Distributions, Limit Theorems

MSc Data Science Syllabus in Chennai Mathematical Institute

Semester I	Semester II
Mathematical Methods- Analysis	Linear Algebra and its Application
Probability and Statistics with R	Data Mining and Machine Learning
Progamming and Data Structures with Python	Algorithm
Discrete Mathematics	Distributed Computing
RDBMS, SQL and Visualization	Big Data with Hadoop
Semester III	Semester IV
Predictive Analytics- Regression and Classification	Elective 3
Advanced Machine Learning	Elective 4
Elective 1	Elective 5
Elective 2	Elective 6

MSc Data Science Syllabus Sri Sathya Sai Institute

MSc Data Science Syllabus Sri Sathya Sai Institute is mentioned below

Semester I	Semester II
Computational Linear Algebra	Stochastic Processes
Inferential Statistics	Regression Methods
Multivariate Analysis	Optimization Techniques
Computer Organization and Architecture	Distributed Systems
Design and Analysis of Algorithms	Software Engineering
Software lab in Python	Software lab in R
Awareness Course– I: Education for Life	Awareness Course – II: God, Society and Man
Semester III	Semester IV
Machine Learning	Elective - I
Practicals: Machine Learning	Elective - II
Big Data Analytics	Elective - III
Practicals: Big Data Analytics	Project*
Data Visualization	Comprehensive Viva voce
Practicals: Data Visualization	Awareness Course –IV:Wisdom for Life
Hadoop Programming
Practicals: Hadoop Programming
Seminar
Project Interim Review*
Awareness Course –III: Guidelines for Morality

MSc Data Science Syllabus in Sharda University

MSc Data Science Syllabus in Sharda University is mentioned below

Semester I	Semester II
Foundations of Data Science	Numerical Methods with Programming
Statistical Methods	Regression Analysis and PredictiveModels
Mathematics for Machine Learning	Statistical Data Preparation& Analytics
Probability Theory and Distributions	Advanced Big Data and Text Analytics
Next Generation Databases	Data Mining & Artificial Intelligence
Practicals	Community Connect
Semester III	Semester IV
Inferential Statistics	Elective-I (Online/Offline Courses)
Multivariate Data Analysis	Elective-II (Online/Offline Courses)
Soft Computing Techniques	-
Exploratory Data Analysis and Visualization	-
Open elective (GE)	-

MSc Data Science Syllabus in Kalyani University

MSc Data Science Syllabus in Kalyani University is mentioned below:

Semester I	Semester II
Mathematics & Statistics - I	CBCS Open Choice Course
Algorithms & Data Structure	Mathematics & Statistics - II
Database Management Systems	Machine Learning
Introduction to Data Science & Artificial Intelligence	Big Data Analytics & Cloud Computing
Algorithms & Data Structure Laboratory with C	Machine Learning Laboratory with Python
Database Management Systems Laboratory	Information Visualization Laboratory
Statistics & Data Analysis Laboratory with R/Excel/SPSS	Big Data Analytics & Cloud Computing Laboratory
Communicative English &HR Management– I	Communicative English & HR Management – II
Semester III	Semester IV
Entrepreneurship & IPR	Dissertation (Final)
Research Methodology	Seminar
Elective – I	Grand Viva
Elective – II	-
Elective-III (Student’s choice)
Review on Frontiers in Data Science
Project/Training/Seminar

MSc Data Science Top Colleges

Name of the College	Fees
Loyola College, Chennai	-
Vellore Institute of Technology (VIT), Vellore	INR 1.61 Lakhs
Fergusson College, Pune	INR 17,955
Annamalai University, Chidambaram	INR 27,495
Manipal University, Manipal	INR 3 Lakhs
GITAM University, Visakhapatnam	INR 2 Lakhs
Amity University, Gurgaon	INR 2.09 Lakhs
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar	INR 7.3 Lakhs
Techno India University, Kolkata	-
University of Kalyani, Kalyani	INR 1.65 Lakhs

MSc Data Science Books

Name of the Book	Fees
Practical Statistics for Data Scientists	Peter Bruce and Andrew Bruce
Introduction to Probability	Joseph K. Blitzstein and Jessica Hwang
Python for Data Analysis	Wes McKinney
Introduction to Machine Learning with Python: A Guide for Data Scientists	Andreas C. Müller and Sarah Guido
Python Data Science Handbook	Jake VanderPlas
R for Data Science	Hadley Wickham and Garret Grolemund
Deep Learning	Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Mining of Massive Datasets	Jure Leskovec, Anand Rajaraman, Jeff Ullman
Understanding Machine Learning: From Theory to Algorithms	Shai Shalev-Shwartz and Shai Ben-David

MSc Data Science Syllabus: FAQs

Ques. What is MSc Data Science?

Ans. M.Sc in Data Science is a two-year postgraduate course that deals with Calculus, Descriptive Statistics, and C-Programming in order to understand the big set of real-world data.

Ques. Who can do MSc Data Science?

Ans. Candidates with Bachelor's degree of mathematics, statistics, or computer science with a minimum aggregate of 50% from a recognized institute can pursue MSc Data Science.

Ques. What are the top colleges for MSc Data Science?

Ans. Loyola College, Chennai;Vellore Institute of Technology (VIT), Vellore;Fergusson College, Pune; and Annamalai University, Chidambaram are the top colleges for MSc Data Science.

Ques. What are the electives in MSc Data Science?

Ans. The electives in MSc Data Science:

Computational Linguistics – Advanced Python
Data Structures, Objects, and Algorithms in Python
Time Series
Optimization
Advanced Analytics and Applied Math for Streaming and High Dimension Data and Applications.

Ques. What are the core subjects of MSc Data Science?

Ans. Statistics, Mathematics, Computer Science, and Business are the core subjects of MSc Data Science.

Ques. What can be done after MSc Data Science?

Ans. Courses that can be done after MSc Data Science:

PhD
MBA
M.Phil

Ques. What are the project topics of MSc Data Science?

Ans. The project topics of MSc Data Science:

Climate Change Impacts on the Global Food Supply.
Fake News Detection.
Human Action Recognition.
Forest Fire Prediction.
Road Lane Line Detection.

Ques. What are the job options after MSc Data Science?

Ans. The job options after MSc Data Science:

Data Analytics.
Business Analyst.
Data Analytics Manager.
Data Architect.
Data Administrator.
Business Intelligence Manager.

Ques. What is the average salaryof MSc Data Science graduate?

Ans. Data Scientist salary in India with less than 1 to 8 years ranges from INR 4.5 Lakhs to INR 26 Lakhs with an average annual salary of INR 10.5 Lakhs.

Ques. Is it worth doing MSc Data Science?

Ans. Yes, it is worth doing MSc Data Science because there is scope for huge data-related operations such as data scientists, data analytics, big data managers, and data architects.