M.Sc. Data Science

The M.Sc. Data Science (DS) program prepares the graduates to understand & learn the concepts of Data Science for application in diverse fields dealing with a large amount of stored or streaming data. Students learn to obtain useful inferences using data science tools and techniques.

Learning and practice will equip students with the skills to implement and apply deep learning algorithms for analyzing the large volume of data for decision support systems and utilize parallel computing technologies and tools.

Core areas of study are programming for data science, scalable database systems, and machine learning. Students can choose to specialize in big data analytics, data security and privacy, data visualization, and reporting. The study of inferential statistics, biomedical imaging, investment analysis, and business data analytics give students interdisciplinary knowledge.

Postgraduate programs at Silicon are designed and intended to provide deeper knowledge and insight into the specific field of study. However, Silicon encourages students to undertake interdisciplinary projects. It supports research and practice in such an initiative by assigning additional project guides from other departments to mentor the students.

Program Educational Objectives Program Specific Outcomes Career Paths Admissions

Program Educational Objectives (PEOs)

The M.Sc. program prepares students for long term success. Beyond building core competencies and technical know-how of students, the program fosters creative skills to thrive in a dynamic world, develops leadership and social responsibility, and cultivates lifelong learning skills.

  • PEO1. To build successful career based on concepts of programming, software and design principles using various methods of Data Science.
  • PEO2. To work independently or in a diverse team with effective communication in interdisciplinary environment, and demonstrate leadership in industry and academia.
  • PEO3. To engage in lifelong learning and career development through analysis, discussion, professional studies, literature study, and continued research.

ACADEMIC CURRICULUM

2023-24 admission batch onwards 2020-22/2021-23 admission batches

Student Achievers

Visakha

Year of Graduation - 2023

Placed in Argusoft with 7.1 LPA

Puspita Sahoo

Year of Graduation - 2023

Placed in Capgemini with 4.25 LPA

Dibya Prakash Dash

Year of Graduation - 2022

Placed in Cognizant with 4.5 LPA

Aparnna Parhi

Year of Graduation - 2022

Placed in IBM with 4.5 LPA

Visakha

Year of Graduation - 2023

Placed in Argusoft with 7.1 LPA

Puspita Sahoo

Year of Graduation - 2023

Placed in Capgemini with 4.25 LPA

Dibya Prakash Dash

Year of Graduation - 2022

Placed in Cognizant with 4.5 LPA

Aparnna Parhi

Year of Graduation - 2022

Placed in IBM with 4.5 LPA

Program Specific Outcomes (PSOs)

The comprehensive curriculum helps students to:

  • PSO1. Understand & learn the concepts of Data Science in diverse fields dealing with large amount of stored or streaming data, and obtain useful inferences.
  • PSO2. Implement & apply appropriate algorithms, techniques, and strategies for developing applications and tools for analysis of large volume of data for decision support systems.
  • PSO3. Utilize cutting-edge technologies, programming languages, environments, tools & platforms leading to a rewarding career and a zest for entrepreneurship or higher studies.

Career Paths

A postgraduate degree in Data Science will make you a sought-after professional in the industry with opportunities to build a career as a data scientist, machine learning engineer, quantitative analyst, data warehouse architect, business intelligence analyst, or chief data officer.

KNOW MORE ABOUT PLACEMENTS

Beyond the Classroom

Summer Internships

Learn new skills and upskill in the latest technologies through project based training.

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Practice School

Experiential learning through real time problem solving in industry environments.

GO TO Practice School

Research Labs

On-campus labs for cutting-edge research in the latest science and technology domains.

GO TO Research Labs

Entrepreneurship Development Cell

Gain skills to build technology firms that service global clients.

GO TO Entrepreneurship Development Cell

Facilities & Activities

Laboratories

State-of-the-art laboratories with the latest hardware and software for learning by doing

Library

Library with over 63000 volumes of books, subscriptions to top e-journals, and reading rooms for focused learning
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Research Center

Multidisciplinary research center with cutting edge labs researching on latest technologies
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Sports & Fitness

Fully equipped gym and top-notch facilities for cricket, basketball, football
READ MORE

Student Clubs

Vibrant sociocultural clubs, a plush 350-seater private cinema hall, and buzzing with action technology clubs
READ MORE

Hostels

Modern student housing ensuring comfort, safety and wellbeing
READ MORE

Laboratories

State-of-the-art laboratories with the latest hardware and software for learning by doing

Library

Library with over 63000 volumes of books, subscriptions to top e-journals, and reading rooms for focused learning READ MORE

Research Center

Multidisciplinary research center with cutting edge labs researching on latest technologies READ MORE

Sports & Fitness

Fully equipped gym and top-notch facilities for cricket, basketball, football READ MORE

Student Clubs

Vibrant sociocultural clubs, a plush 350-seater private cinema hall, and buzzing with action technology clubs READ MORE

Hostels

Modern student housing ensuring comfort, safety and wellbeing READ MORE

Learn about getting an admission into the M.Sc. Data Science program at Silicon.

GO TO ADMISSIONS