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Program Objective

The programme education objectives of M.Sc. in Data Science degree programme are to:

  • Train learners to demonstrate proficiency with statistical analysis of data
  • Equip graduates with necessary skills to execute statistical analyses with professional statistical software
  • Enable graduates to create and implement solutions with advanced computing skills addressing data management
  • Prepare learners to develop the ability to build and assess data–based models
  • Equip graduates with capability to design, implement and test computational approaches to develop innovative and effective solutions for diverse sectors
  • Enable the learners to apply data science concepts and methods to solve problems in the real–world context and communicate these solutions effectively
  • Nurture creativity in the graduates to enable them to excel in industry and research organizations
  • Create technically sound, socially conscious and ethically committed professionals
Scheme of Study
I Semester (20 Credits)
Course CodeCourse NameCredits
MATOL445Probability &Statistics using R4
MATOL446 Mathematics for Data Science4
BINOL522Python for Data Science4
INTOL530Artificial Intelligence & Reasoning4
MATOL439Applied Multivariate Analysis4
II Semester (Credits 20)
Course CodeCourse NameCredits
INTOL534Machine Learning4
CSEOL614Big Data Mining & Analytics4
INTOL413RDBMS, SQL &Visualization4
INTOL531Data Mining Techniques4
INTOL416RDBMS, SQL, Visualization & Analytics Laboratory2
MANOL106Research Methodology & IPR2
III Semester (20 Credits)
Course CodeCourse NameCredits
CSEOL615Deep Learning & Applications4
INTOL418Predictive Analytics Regression & Classification4
OEHOL014Ethics & Data Security4
XXXXXXElective I4
XXXXXXElective II4
IV Semester (Credits 20)
Course CodeCourse NameCredits
ICTOL601Machine Vision4
XXXXXXElective III4
XXXXXXElective IV4
INTOL500Project work & Viva voce8
Elective – I
Course CodeCourse Name
INTOL424Algorithmic trading
INTOL426Bayesian data analysis
INTOL428Financial data analysis
Elective – II
Course CodeCourse Name
BINOL533Healthcare data analytics
BINOL529Data science for structural biology
MATOL548Epidemiological Modelling
Elective – III
Course CodeCourse Name
CSEOL542Social Networks & Graph Analysis
INTOL419Spatial Data Analytics
INTOL433Information Visualization
Elective – IV
Course CodeCourse Name
CSEOL608Image processing & Analysis
ICTOL529Speech & Video processing
INTOL427Information Retrieval & Natural Language Processing
MATOL549Energy Systems Modelling & Analysis for Data Science
Fee Structure
M.Sc. in Data Science
DurationNo of Semester'sTuition Fee
[per semester]		Admission Fee
[One Time]		Exam FeeConvocation Fee
24 Rs 25,000/-NilNil Nil

Note: Student has to pay arrear fee for the backlog paper.

Contact

Director
Directorate of Online & Distance Education
E-Mail: AdmissionsOL@dde.sastra.ac.in
Contact: 044 23650027

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