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MSc in Data Science 2025: Career Options and Other Details
MSc in Data Science 2025: Career Options and Other Details,Apr 04, 2025
Online Msc
Apr 04, 2025
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Data science will impact the economies of the world, alter the trends of a corporation, and improve the lifestyles of many people. Data scientists work across industries and are in high demand; firms are sure to realize how much they can do with data-driven decisions. You are in the right place if you want to acquire knowledge and insights from enormous data or want to apply your abilities to a meaningful career. The curriculum of Sharda University is on your side to attain the best set of skills for a thriving data science career.
You'll acquire, among others, basics in Machine Learning, Data Mining, and Predictive Analytics.
Course Highlights
Particulars | Details |
Course Level | Postgraduate |
Course Duration | 2 years |
Course Fees | INR 1 to INR 3 Lakh Per Annum |
Examination Type | Semester Examination |
Course Entrance Exams | IIT JAM, CUET, CUET-PG, UGC NET, CPGET, etc. |
Job Profiles | Data Scientist, Data Analyst, Data Engineer, Data Architect, Business Intelligence Developer, etc. |
Average Salary Range | INR 8,00,000- INR 19,00,000 per annum |
Top Recruiters | Amazon, IBM, Fractal Analytics, JPMorgan Chase & Co, Accenture, Deloitte, Flipkart, Microsoft, etc. |
Course Benefits
The responsibilities an MSc in Data Science prepares are: Programming and statistical analysis, machine learning, and data visualization, to solve complex data-driven business decisions. Key Benefits of Studying MSc in Data Science include:
- High Demand across different industries.
- High salary and career scope
- Being part of the world's cutting-edge technologies.
- Transforming organizations based on data-driven insights.
Eligibility and Admission Criteria
The same classes are eligible for undertaking an MSc in Data Science by passing:
BCA / BSc (Statistics / Mathematics / Computer Science / Information Technology) / BE or BTech or other graduation from a recognized university with at least 60 percent aggregate marks or equivalent with a minimum of two years learning Mathematics / Statistics with basic programming knowledge. The applicants have to fulfill all academic requirements (classes, examinations, and all kinds of other assessments) required by their undergraduate program.
Entrance examinations are:
- Common University Entrance Test (CUET)
- Central Universities Common Entrance Test (CUCET)
- Jain University Entrance Test
- Jawaharlal Nehru University Entrance Test (JNUEE)
Course Structure and Major Subjects
Semester 1
Mathematical Foundation For Data Science Probability And Distribution Theory Introduction to Geospatial Technology Principles of Data Science Fundamentals of Data Science Python Programming | Semester 2
Mathematical Foundation For Data Science – II Design and Analysis of Algorithms Advanced Python Programming for Spatial Analytics Regression Analysis Machine learning Image Analytics |
Semester 3
Spatial Modeling Summer Project Genomics Natural Language Processing | Semester 4
Industry Project Research Work Research Publication Exploratory Data Analysis |
Career Options After MSc in Data Science
MSc in Data Science graduates can apply for jobs in a range of industries. Here are some of the best examples of careers in diversity:
1. Data scientist.
- Works on gathering, analyzing, and interpreting huge datasets to inform corporate strategies.
- Average annual salary: INR 8,00,000 to INR 15,00,000 (depending on region and experience).
2. Machine Learning Engineer.
- Develop machine-learning models and associated AI applications.
- Must be acquainted with languages such as Python and deep learning frameworks alongside TensorFlow.
3. Data Analyst.
- Users use statistical tools to interpret data, analyze it, and create graphics for making decisions.
- Best suited for those with high analytical and visualization skills.
4. Business intelligence analyst.
Analyze market trends and performance using BI tools like Power BI and Tableau.
5. AI Research Scientist.
- Research to invent new AI models and data-driven solutions.
- A good dose of math and research skills is usually required.
6. Big Data Engineer.
Involves big data storage and processing systems like Hadoop, Spark, and Kafka.
7. Data Engineer.
- Design and maintain data pipelines to enable the smooth flow of data across systems.
- SQL, ETL pipelines, and cloud platforms (AWS, Azure, GCP) are essential skills.
Table showing some common job profiles with the salary package:
Job Profiles | Average Salary Range |
Data Scientist | INR 14 LPA |
Data Analyst | INR 7 LPA |
Data Engineer | INR 11 LPA |
Data Architect | INR 20 LPA |
Business Intelligence Developer | INR 9 LPA |
The more data science develops in modalities like these, the more it becomes progressive:
- AI and Automation for Data Analysis
- Explainable AI and Ethical Data Science.
- Quantum Computing for Big Data
All of these deep learning advances indicate that the future of a master's in 2025 master will be light because of the growing dependence of industries on data-driven insights. With the increasing prominence of AI, analysis, and big data in commercial sectors, computer science will thrive in terms of heightening vocational future-proof jobs. In a wide range of businesses, professionals in data science will be in demand. Whether you want to become a computer researcher, a machine learning engineer, or an AI researcher, this degree will equip you with the abilities you need to succeed in the digital age. Computer science is the place to go in a career today.
Questions to Ask
1. Is there an MSC in computer science in 2025?
Yes. This is a degree that will currently provide very good demand in jobs with a promising future and good salary.
2. What is the extent of MSC Data Science?
Computer science is a rapidly expanding area in ​​India, with increasing demand for skilled experts who can analyze giant datasets. Computer science has many types of applications in India, including banking, health care, e-commerce, and state institutions.
3. Is MCA better than MSC in computer science?
MCA focuses on software development and applications, while MSC examines informatics theory and research. MCA graduates in Software Development, System Analysis, and Database can pursue employment in administration, while the MSC Computer Science Bachelor of Science can work in computer science, artificial intelligence, or cyber security.