Sharda University

Sharda University

Greater Noida , Uttar Pradesh
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4.1 Ratings
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Private|Estd. 2009|NIRF #101 (Engineering) 2025|NAAC Grade A+

Written By Sneha Ramchandani

Updated on – 13 Oct, 2025

M.Sc. in Data Science & Analytics at Sharda University - 

The M.Sc. in Data Science & Analytics at Sharda University is a highly specialized two-year program designed to equip students with the necessary skills to thrive in the data-driven world. With the increasing reliance on big data and analytics in business, healthcare, finance, and other industries, this program aims to train students in the latest tools and technologies for data analysis, data management, and decision-making processes.

This program also emphasizes the importance of programming languages such as Python, R, SQL, and the use of machine learning algorithms to analyze large datasets. It prepares students for various roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst.

Program Duration

The M.Sc. in Data Science & Analytics at Sharda University spans over a duration of 2 years, which is divided into 4 semesters. The course offers a combination of lectures, laboratory sessions, assignments, and hands-on industry projects that contribute to the overall learning experience.

M.Sc. (Data Science & Analytics) Fee Structure

The fee structure for the M.Sc. Data Science & Analytics course is divided into the first and second years as follows:

YearFee Amount (INR)
1st Year1,30,000
2nd Year1,33,900

This annual fee includes tuition, access to university resources, and other necessary facilities provided to the students.

Eligibility Criteria for M.Sc. (Data Science & Analytics) 

To be eligible for the M.Sc. Data Science & Analytics program, applicants must meet the following criteria:

Eligibility RequirementDetails
Educational QualificationsB.Sc. IT/CS/Mathematics, BCA, B.Sc. Statistics/Data Science
Minimum Marks55% or above in the qualifying degree
Age LimitNo specific age limit stated
Other RequirementsBasic knowledge of mathematics, statistics, and computer science is recommended

M.Sc. (Data Science & Analytics) Course Outline

The M.Sc. in Data Science & Analytics covers a comprehensive curriculum, including core concepts, tools, and techniques used in data science. Below is a breakdown of the subjects and modules that students will undertake during the course duration.

Year 1 

Semester 1Semester 2
Introduction to Data ScienceData Mining and Big Data
Programming for Data ScienceStatistical Inference
Mathematical Foundations for Data ScienceData Visualization
Data Structures and AlgorithmsMachine Learning Algorithms
Database Management SystemsCloud Computing and Data Science

Year 2 

Semester 3Semester 4
Deep Learning and Neural NetworksCapstone Project
Advanced Machine LearningBig Data Analytics
Business AnalyticsBusiness Intelligence
Natural Language Processing (NLP)Advanced Data Visualization
Data Ethics and Privacy

Practical Training and Industry Exposure

Along with the theoretical aspects, Sharda University emphasizes practical training in the field of data science. Throughout the program, students are provided with hands-on experience through:

Type of Training/ExposureDescription
Laboratory WorkStudents will perform data analysis and programming tasks in the university's computer labs.
Industry InternshipsIndustry partnerships provide students with opportunities to work on real-world projects during internships.
Capstone ProjectStudents must complete a capstone project under the guidance of industry professionals. This project will involve practical problem-solving using data science techniques.
Workshops & SeminarsThe university organizes workshops and seminars by industry experts to keep students updated with the latest trends in data science.

Career Opportunities after M.Sc. (Data Science & Analytics) 

The M.Sc. in Data Science & Analytics opens up a wide range of career options in various industries. Graduates of this program are well-equipped to work in fields such as business intelligence, data analytics, machine learning, AI, and big data technologies. Below are some of the popular job roles for graduates of this course:

Job RoleDescription
Data ScientistAnalyze and interpret complex data to help organizations make data-driven decisions.
Data AnalystWork with large datasets, providing insights and visualizations to support business strategies.
Machine Learning EngineerDesign and implement machine learning models and algorithms.
Business Intelligence AnalystUse data analysis to provide business insights and help in decision-making processes.
Big Data EngineerDesign and manage big data infrastructure and systems.

Sharda University's M.Sc. in Data Science & Analytics is an excellent choice for individuals looking to build a career in the data science field. The program offers an in-depth curriculum, practical training, and industry exposure, making it one of the most comprehensive courses in India. With its strong focus on programming, statistical modeling, and machine learning, students are prepared for the fast-growing job market in data science and analytics.

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