B.SC. (Data Science and Big Data Analytics)
Bachelor of Science in Data Science and Big Data Analytics
BEST UNIVERSITY FOR B.SC. (Data Science and Big Data Analytics) IN ROORKEE, UTTARAKHAND
The B.Sc. in Data Science and Big Data Analytics is a future-ready undergraduate program designed to equip students with the analytical, technical, and strategic skills required to extract meaningful insights from vast amounts of data. This interdisciplinary course blends statistical analysis, programming, machine learning, and data visualization with real-world problem-solving, enabling students to drive data-driven decisions across industries.
To build a solid foundation in mathematics, statistics, and computer science tailored to data analytics.
To train students in handling structured and unstructured data using modern tools and technologies.
To develop capabilities in predictive modeling, machine learning, and business intelligence.
To prepare students for real-time big data applications in domains like healthcare, finance, e-commerce, and logistics.
To foster innovation, research aptitude, and critical thinking in the field of data science.
Educational Qualification: Completion of 10+2 (Senior Secondary) with Science stream.
- Candidates must have studied Mathematics, Statistics, or Computer Science at the intermediate level.
Minimum Marks: A minimum of 45% marks (40% for reserved categories) marks in 12th grade, depending on the institution’s requirements.
Age Limit: 17 years or above at the time of admission.
Entrance Exams:
- University-Specific Exam (PUET)
- CUET
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
Integrated curriculum covering Data Mining, Big Data Technologies, Python, R, SQL, Hadoop, Spark, and Machine Learning
Real-time projects, case studies, and capstone projects for practical learning
Access to modern data labs and analytics platforms
Industry exposure through seminars, internships, and guest lectures
Certification support for tools such as Tableau, Power BI, and Google Cloud Analytics
Multidisciplinary approach with hands-on coding, analytics, and data interpretation
Course Benefits
High demand for data professionals across sectors
Development of both technical and business problem-solving skills
Strong foundation for further education such as M.Sc. in Data Science, AI, or MBA (Business Analytics)
Exposure to real-world datasets and decision-making scenarios
Internship and placement support with data-centric organizations and IT companies
Opportunity to earn certifications from industry-standard platforms
Career Opportunities
Data Scientist
Data Analyst
Business Intelligence Analyst
Big Data Engineer
Machine Learning Engineer
Data Architect
Research Analyst
Cloud Data Specialist
Quantitative Analyst
Collaborations
Tab Content
PLACEMENT
CAREER PROSPECTS
Graduates of B.Sc. in Data Science and Big Data Analytics are highly employable in industries such as IT, finance, healthcare, telecommunications, logistics, and government. The growing reliance on big data across all sectors ensures long-term career stability and advancement opportunities. Many graduates also opt for roles in research or pursue higher studies in data science and related fields.
FAQs
No. The course starts with fundamental programming concepts, and students will be trained in Python, R, and other essential tools.
The program includes training in Python, R, SQL, Hadoop, Spark, Tableau, Power BI, and cloud-based data tools.
Yes. The university provides structured internships with analytics firms, IT companies, and data-driven organizations as part of the curriculum.
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.
Absolutely. Students can opt for postgraduate programs such as M.Sc. in Data Science, MBA in Business Analytics, or specialized certifications in AI/ML and big data.