M.SC. (Data Science And Big Data Analytics)
Masters of Science in Data Science And Big Data Analytics
BEST UNIVERSITY FOR M.SC. (DATA SCEINCE AND BIG DATA ANALYTICS ) IN ROORKEE, UTTARAKHAND
The Master of Science (MSc) in Data Science and Big Data Analytics is a cutting-edge postgraduate program designed to develop expertise in managing, analyzing, and extracting meaningful insights from large and complex datasets. With the exponential growth of data in every industry, this program equips students with the skills to turn raw data into actionable intelligence using advanced analytical tools, statistical methods, and machine learning techniques.
This course is ideal for students aspiring to build careers in data science, business analytics, artificial intelligence, and decision science across diverse sectors.
To build a strong foundation in data analytics, statistical modeling, and data mining techniques.
To develop skills in big data technologies such as Hadoop, Spark, and NoSQL databases.
To train students in programming languages such as Python, R, and SQL for data analysis.
To provide hands-on experience in machine learning, predictive analytics, and data visualization.
To foster the ability to solve complex business problems through data-driven strategies.
A Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related discipline from a recognized university.
A minimum of 45% marks (40% for reserved categories) in the qualifying examination (relaxation as per government norms for reserved categories).
Basic knowledge of mathematics, programming, and statistics is preferred.
- Minimum Age: 20 years or above at the time of admission.
Entrance Exams for B.SC. (IT) include:
- Common Entrance Exam Test (CUET)
- University-Specific Exam (PUET)
Click here for a detailed Fee Structure.
Course Highlights
Course Benefits
Career Opportunities
Collaborations
Course Highlights
Duration: 2 years (4 semesters)
Industry-aligned curriculum with a balance of theory and practical application.
Training in tools and platforms such as Python, R, Hadoop, Spark, Tableau, Power BI, and SQL.
Real-world case studies, projects, and internship opportunities.
Specialized modules in machine learning, AI, data engineering, and cloud analytics.
Guest lectures, webinars, and workshops with data science professionals.
Access to advanced analytics labs and cloud-based environments for practical learning.
Course Benefits
Develop highly sought-after skills in data analytics, machine learning, and big data technologies.
Gain expertise in solving real-world problems through structured data analysis.
Prepare for industry certifications and professional development in analytics.
Enhance employability in high-growth sectors such as finance, healthcare, IT, e-commerce, and consulting.
Strong foundation for further academic pursuits like PhD in Data Science or Business Analytics.
Career Opportunities
Graduates of MSc in Data Science and Big Data Analytics can pursue diverse and high-paying roles, including:
Data Scientist
Big Data Engineer
Machine Learning Engineer
Business Intelligence Analyst
Data Analyst
Data Architect
AI Analyst
Decision Scientist
Analytics Consultant
Research Analyst
Collaborations
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PLACEMENT
CAREER PROSPECTS
Data science and big data analytics are among the most in-demand career domains globally. With industries becoming increasingly data-driven, professionals trained in analytics are essential for innovation, strategic decision-making, and operational efficiency. This program opens doors to opportunities across sectors such as IT, banking, retail, logistics, healthcare, telecommunications, and government.
The global analytics market continues to expand, offering excellent long-term career growth, international placement opportunities, and research potential.
FAQs
The course duration is 2 years, comprising 4 semesters.
Basic programming knowledge is helpful, but foundational courses are included to bring all students up to speed.
Yes, the course includes case studies, real-time datasets, industry projects, and internships for practical exposure.
Students will gain proficiency in Python, R, Hadoop, Spark, Tableau, SQL, and cloud analytics platforms.
The University offers hostel facilities with designated residential blocks for both boys and girls, available on a first-come, first-served basis. Accommodation is provided on a Double/ triple sharing arrangement. Students who wish to avail themselves of on-campus hostel facilities are required to deposit the fee in advance.