How may I help you?

M.Sc. Data Science

Master of Science (M.Sc)
Dr. G.Y. Pathrikar College of CS & IT

Program Outline

This is unique Two-year full-time Master of Science in Data Science and Analytics degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. The Graduates are highly trained, qualified data scientists and Analysts who can go on to pursue careers in industry, government or research.

Now when Hadoop and other frameworks have successfully solved the problem of huge storage requirements, the focus has now shifted to the processing of this myriad of data. Data Science is the secret sauce here which helps in extracting meaningful insights from the complex and large sets of data all around us.

Students will also get the opportunity to work on live projects and explore their academic learning with practical and real-life industry experience.

Eligibility

Any Bachelor degree of minimum 3 years with at least two papers in Mathematics / Information Technology / Computer Science / Computer Application / Statistics / Electronics / Operational Research at 10+2 level or at Graduation level examination. 

He / She must have obtained at least 50% marks in aggregate (45% in case of candidates of reserved categories) from any recognized University

Key Features

  • Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, Python and R software packages
  • Learn to make Data-driven decision
  • Focuses on developing your skills like problem-solving, communication, teamwork, creativity and business intelligence
  • Students get Campus Recruitment Training program to enhance and improve their skills required for getting placement
  • We provide students with Placement Assistance and Support for placement at highly reputed Multi-National Companies with good package

Program Structure

For M.Sc.in Data Science and Analytics Two years Program

Program structure includes basic and advanced skills on Current trends like Machine Learning Algorithms, Artificial intelligence, Big Data Analytics, Deep Learning, Statistical Analysis, Data mining and data warehousing techniques using Python and R Programming languages.

Semester-I

Sr. NoCode /NameTypeWeekly WorkloadCreditsAssessment
TheoryPracticalTutorialTheoryPracticalInternalExternalTotal
1CC-01 Introduction to Data ScienceCC3144060100
2CC-02 Statistical MethodsCC3144060100
3DSE-01 Data MiningDSE3144060100
4DSE-02 Programming for Data ScienceDSE3144060100
5LAB-01 Based on CC-01CC424060100
6LAB-02 Based on CC-02CC424060100
7LAB-03 Based on DSE-01DSE424060100
8LAB-04 (Project Work)DSE424060100
121641608320480800

Semester-II

Sr. NoCode /NameTypeWeekly WorkloadCreditsAssessment
TheoryPracticalTutorialTheoryPracticalInternalExternalTotal
1CC-01 Fundamentals of AnalyticsCC3144060100
2CC-02 Time Series Analysis and ForecastingCC3144060100
3DSE-01 Social Media and Web AnalyticsDSE3144060100
4DSE-02 Research MethodologyDSE3144060100
5LAB-01 Based on CC-01CC424060100
6LAB-02 Based on CC-02CC424060100
7LAB-03 Based on DSE-01DSE424060100
8LAB-04 (Project Work)DSE424060100
121641608320480800

 

Semester-III

Sr.NoCode /NameTypeWeekly WorkloadCreditsAssessment
TheoryPracticalTutorialTheoryPracticalInternalExternalTotal
1CC-01 Machine LearningCC3144060100
2CC-02 Business IntelligenceCC3144060100
3DSE-01 Big Data AnalyticsDSE3144060100
4DSE-02 Healthcare AnalyticsDSE3144060100
5LAB-01 Based on CC-01CC424060100
6LAB-02 Based on CC-02CC424060100
7LAB-03 Based on DSE-01DSE424060100
8LAB-04 (Project Work)DSE424060100
121641608320480800

 

 Semester-IV

Sr.NoCode /NameTypeWeekly WorkloadCreditsAssessment
TheoryPracticalTutorialTheoryPracticalInternalExternalTotal
1Ind. TrainingOEC/AEC24300500800

Job Opportunities

Data Scientist was the most promising career from 2019. As the size of cloud is keep on increasing, the demand for Data scientist will also be in huge demand in coming days.

You can work in the below roles:

Data Scientist, Data Analyst, Data Architect, Statistical Officer, Data Mining and Statistical Analysis, Cloud and Distributed Computing, Database Management and Architecture, Business Intelligence and Strategy

Machine Learning, Cognitive Computing Development, Data Visualization and Presentation, Operations-Related Data Analytics Market-Related Data Analytics.