The growing importance of data in business, technology, healthcare, finance and other industries has increased the demand for professionals with strong analytical and technical skills. Organisations now rely on data to understand market trends, improve decision-making, automate processes and develop innovative solutions. This has made Data Science an attractive career option for students planning to enter the technology sector.
An Online BSc in Data Science provides an opportunity to develop these skills through flexible undergraduate education. The programme generally combines mathematics, statistics, programming, database management, data analytics and machine learning. Students learn how to interpret complex information, identify patterns and use analytical tools to solve real-world problems.
In India, several reputed institutions offer online undergraduate programmes in Data Science or Data Science and Artificial Intelligence. These programmes have different admission requirements, academic structures, fee schedules and degree titles.
This guide explains the leading university options for 2026, their fees, eligibility criteria, admission procedures, curriculum and career opportunities.
Table of Contents
Online BSc in Data Science: Programme Overview
An Online BSc in Data Science is an undergraduate degree that focuses on the collection, processing, interpretation and analysis of data. It introduces students to the technical foundations required to work with structured and unstructured information.
Unlike a conventional computer science degree, a Data Science programme places particular emphasis on statistical analysis, mathematical modelling, data visualisation and predictive techniques. Depending on the curriculum, students may also study artificial intelligence, machine learning and big data technologies.
| Programme Details | Information |
|---|---|
| Programme Name | Online BSc in Data Science |
| Course Level | Undergraduate |
| Duration | Generally 3 to 4 years |
| Learning Mode | Online |
| Eligibility | Class 12 or equivalent |
| Academic Areas | Mathematics, Statistics, Programming and Data Analytics |
| Assessment | Assignments, examinations and projects |
| Career Opportunities | Data Analyst, Business Intelligence Analyst and Junior Data Scientist |
The exact degree title and academic structure depend on the institution. Some universities offer a BSc in Data Science, while others combine Data Science with Artificial Intelligence in the awarded qualification.
Top Universities Offering Online BSc in Data Science in India 2026
Students interested in pursuing an undergraduate degree in Data Science can consider institutions offering dedicated online programmes. The following universities have published programme information for the 2026 academic period.
1. BITS Pilani Digital
BITS Pilani Digital offers a Bachelor of Science in Data Science and Artificial Intelligence. The programme is designed to develop technical knowledge through a combination of academic learning, practical projects and industry-oriented training.
Its curriculum focuses on building a foundation in mathematics, programming, data analysis and artificial intelligence. Students can access digital learning resources and study through a flexible academic structure.
Programme Highlights
| Particulars | Details |
|---|---|
| Institution | BITS Pilani |
| Programme | BSc in Data Science and AI |
| Duration | 3 years for the BSc pathway |
| Learning Mode | Online |
| Application Fee | ₹1,500 |
| Admission Fee | ₹19,500 |
| Trimester Fee | ₹35,690 |
| Eligibility | Class 12 or an eligible technical diploma |
The published fee schedule lists a trimester fee of ₹35,690. The total payable amount depends on the applicable programme structure and admission requirements.
Eligibility Criteria
Applicants must meet the academic requirements prescribed by BITS Pilani Digital. Class 12 graduates and eligible technical diploma holders can apply, subject to the mathematics or Statistics requirements. Students who do not satisfy the prescribed mathematics condition may have to complete an additional preparatory requirement.
The university also provides flexible academic pathways and multiple exit options, subject to the applicable credit requirements.
2. Indian Institute of Technology Guwahati
IIT Guwahati offers an online BSc Honours in Data Science and Artificial Intelligence through its Mehta Family School of Data Science and Artificial Intelligence.
The programme combines theoretical knowledge with practical learning in data science, artificial intelligence, programming and machine learning. It is designed for students who want to pursue technical education while maintaining flexibility in their academic or professional schedules.
Programme Highlights
| Particulars | Details |
|---|---|
| Institution | IIT Guwahati |
| Programme | BSc Honours in Data Science and AI |
| Duration | 4 years |
| Learning Mode | Online |
| Minimum Eligibility | 60% in Class 12 |
| Admission Fee | ₹50,000 |
| Tuition Fee | ₹1,100 per credit |
| Total Honours Programme Fee | ₹3,78,900 |
The programme follows a multi-entry and multi-exit structure. Students can earn different academic qualifications at eligible stages depending on the credits completed and applicable academic requirements.
Admission Requirements
Applicants generally need to complete Class 12 or an equivalent qualification with at least 60% aggregate marks.
Candidates who meet the specified JEE Advanced eligibility conditions may qualify for a direct admission route. Other eligible applicants are required to complete the prescribed Mathematics Essentials preparation and qualify through the admission assessment.
For the January 2027 cohort, the application deadline published by IIT Guwahati is 31 October 2026, with classes scheduled to begin on 4 January 2027. Students planning to apply should verify the latest admission notification before submitting their applications.
3. Sri Ramachandra Institute of Higher Education and Research
Sri Ramachandra Institute of Higher Education and Research offers an online BSc Honours in Data Science. The programme is designed to help students develop a strong foundation in analytical methods, programming and data-based problem-solving.
The university provides online learning resources and academic support to help students complete their undergraduate education through a flexible learning format.
Programme Highlights
| Particulars | Details |
|---|---|
| University | Sri Ramachandra Institute of Higher Education and Research |
| Programme | BSc Honours in Data Science |
| Duration | 4 years |
| Exit Option | BSc after 3 years |
| Learning Mode | Online |
| Eligibility | 50% in Class 12 |
| Three-Year BSc Fee | ₹92,000 |
| Four-Year Honours Fee | ₹1,21,500 |
Students can complete the three-year BSc pathway or continue into the fourth year to obtain the honours qualification, subject to the programme’s academic requirements.
The university has published separate fee structures for the three-year and four-year pathways. Applicants should confirm the latest admission availability, fee schedule and subject requirements for their intended intake.
Online BSc Data Science Fees Comparison 2026
Programme fees are an important consideration when selecting an online undergraduate degree. However, students should compare the complete academic cost rather than looking only at the advertised semester or trimester payment.
The following table provides a comparison of published fee information for selected universities.
| University | Programme | Duration | Fee Details |
|---|---|---|---|
| BITS Pilani Digital | BSc Data Science and AI | 3 years | ₹35,690 per trimester |
| IIT Guwahati | BSc Honours Data Science and AI | 4 years | ₹3,78,900 total |
| Sri Ramachandra Institute | BSc Data Science | 3 years | ₹92,000 total |
| Sri Ramachandra Institute | BSc Honours Data Science | 4 years | ₹1,21,500 total |
The fee structure varies according to the university’s academic model. Some institutions collect fees per trimester or credit, while others publish a consolidated programme amount.
Students should also check for application charges, admission fees, examination expenses and other applicable costs before completing their enrollment.
Eligibility Criteria for Online BSc in Data Science
The eligibility criteria for an Online BSc in Data Science depend on the university and the specific programme. Most institutions require applicants to have completed their higher secondary education from a recognised board.
The common eligibility requirements include:
- Completion of Class 12 or an equivalent qualification.
- Minimum aggregate marks as prescribed by the university.
- Mathematics or Statistics in Class 12, wherever applicable.
- An eligible technical diploma for institutions that accept diploma holders.
- Successful completion of an entrance assessment or qualifier test, where required.
Can Students from Commerce and Arts Backgrounds Apply?
Yes, students from Commerce and Arts backgrounds may be eligible for selected online Data Science programmes. However, admission is not automatically available to every applicant from every stream.
Some institutions accept candidates from different academic backgrounds, while others prescribe Mathematics or Statistics as a mandatory subject. Certain universities also provide preparatory mathematics courses or admission assessments.
Students should review the subject-specific requirements carefully before selecting a programme.
Admission Process for Online BSc in Data Science in 2026
Most universities follow an online admission process. Applicants can complete the application form, upload academic documents and pay the prescribed charges through the institution’s admission portal.
Step 1: Research Available Universities
Begin by comparing universities that offer online undergraduate programmes in Data Science. Consider the degree title, course duration, curriculum, fee structure and learning format.
Step 2: Verify Eligibility
Check the minimum Class 12 percentage, subject requirements and any additional academic conditions. Students with a diploma qualification should also confirm whether it is accepted.
Step 3: Complete Online Registration
Visit the university’s admission portal and register using the required personal and contact information.
Step 4: Submit Academic Documents
Applicants may be required to upload the following documents:
- Class 10 marksheet and certificate
- Class 12 marksheet and certificate
- Diploma certificate, where applicable
- Government-issued identity proof
- Recent passport-size photograph
- Digital signature
- Other documents specified by the university
Step 5: Complete the Admission Assessment
If the programme requires an entrance test, qualifier examination or preparatory course, applicants must complete the prescribed admission requirements.
Step 6: Pay the Applicable Fees
After receiving admission approval, students must pay the required admission and programme fees according to the university’s payment schedule.
Step 7: Receive Enrollment Confirmation
After successful verification, the university provides enrollment confirmation and instructions for accessing the online learning platform.
Subjects Covered in an Online BSc Data Science Programme
The curriculum is designed to develop mathematical understanding, computational knowledge and analytical abilities. Students generally begin with foundational subjects before progressing to advanced topics.
| Subject | Key Learning Areas |
|---|---|
| Mathematics | Algebra, calculus and mathematical foundations |
| Statistics | Probability, statistical analysis and data interpretation |
| Programming | Python and programming fundamentals |
| Database Management | SQL and database concepts |
| Data Analytics | Data collection, processing and analysis |
| Data Visualisation | Charts, dashboards and reporting |
| Machine Learning | Predictive modelling and algorithms |
| Artificial Intelligence | AI fundamentals and applications |
| Big Data | Large-scale data processing |
| Project Work | Practical applications and analytical problem-solving |
The subjects and tools may vary across universities. Some programmes include additional topics such as cloud computing, business analytics, deep learning and data engineering.
Career Opportunities After an Online BSc in Data Science
A degree in Data Science can prepare students for opportunities in several technology-driven industries. Organisations across finance, healthcare, retail, consulting, education and e-commerce use data to support business decisions.
Graduates can explore entry-level roles based on their technical knowledge, practical experience and additional skills.
Data Analyst
Data Analysts collect, organise and examine information to identify patterns and prepare reports. They help organisations understand performance and make informed decisions.
Business Intelligence Analyst
Business Intelligence Analysts use reporting platforms and analytical tools to convert business data into useful insights. They may work on dashboards, performance reports and business trends.
Junior Data Scientist
Junior Data Scientists support experienced professionals in analysing datasets, developing predictive models and applying statistical methods.
Data Visualisation Specialist
These professionals present complex datasets through dashboards, charts and other visual formats that make information easier to understand.
Database Analyst
Database Analysts work with data storage systems, database structures and information management processes.
Junior Machine Learning Engineer
Graduates who develop additional programming and machine learning expertise can explore entry-level roles involving model development, testing and implementation.
Career opportunities depend on individual skills and employer requirements. Students should build practical experience through internships, independent projects and relevant technical certifications.
Skills Required for a Successful Career in Data Science
A successful career in Data Science requires more than theoretical knowledge. Students should develop technical abilities and professional skills throughout their undergraduate programme.
Technical Skills
- Python programming
- SQL and database management
- Mathematics and statistics
- Data cleaning and processing
- Data visualisation
- Machine learning fundamentals
- Analytical tools and software
- Basic cloud computing concepts
Professional Skills
- Logical reasoning
- Analytical thinking
- Problem-solving
- Communication
- Attention to detail
- Team collaboration
- Business understanding
Working on real-world datasets and creating a project portfolio can help students demonstrate their capabilities during internships and job applications.
How to Choose the Best Online BSc in Data Science
Selecting the right university requires careful consideration of academic quality, recognition, affordability and learning support.
University Recognition: Verify whether the institution is authorised to offer the specific online degree for the relevant academic session. Do not assume that general university recognition automatically confirms approval for every online programme.
Degree Title: Check the exact qualification awarded after completion. A BSc in Data Science and a BSc in Data Science and Artificial Intelligence may have different academic structures.
Curriculum: Review the subjects, practical assignments, programming tools and project requirements included in the course.
Fee Structure: Compare the total programme cost, including admission charges, tuition, examination fees and other applicable expenses.
Examination Format: Understand whether assessments are conducted online or through designated examination centres.
Academic Support: Check the availability of faculty interaction, recorded lectures, live sessions and doubt-clearing facilities.
Career Development: Explore whether the university provides internships, placement assistance, career guidance or industry-oriented projects. Such support should not be treated as a guarantee of employment.
Is an Online BSc in Data Science Worth Pursuing in 2026?
An Online BSc in Data Science can be a suitable undergraduate qualification for students interested in technology, analytics and artificial intelligence. It offers an opportunity to study technical subjects through a flexible academic format while developing skills relevant to data-driven industries.
However, the value of the degree depends on the institution, programme recognition, curriculum and practical learning opportunities. Students should not select a university based only on its name or advertised placement support.
A strong foundation in mathematics, programming and statistics, combined with practical projects and continuous skill development, can help graduates prepare for further education and entry-level professional opportunities.
Before applying, compare the available universities, verify their admission requirements and review the complete fee structure. Making an informed decision can help students select a programme that supports their academic interests and long-term career goals.
Frequently Asked Questions About Online BSc in Data Science
1. What is an Online BSc in Data Science?
An Online BSc in Data Science is an undergraduate programme that teaches students mathematics, statistics, programming, data analytics and related technical subjects through an online learning format.
2. Which universities offer an Online BSc in Data Science in India?
Selected options include BITS Pilani Digital, IIT Guwahati and Sri Ramachandra Institute of Higher Education and Research. Their programme titles, academic structures and eligibility conditions differ.
3. What is the duration of an Online BSc in Data Science?
The duration generally ranges from three to four years. Some institutions provide a three-year BSc qualification with an option to continue into a fourth-year honours programme.
4. What is the fee for an Online BSc in Data Science?
The fee varies by institution. Published examples include ₹92,000 for the three-year BSc at Sri Ramachandra Institute and ₹3,78,900 for the four-year BSc Honours at IIT Guwahati.
5. Is Mathematics compulsory for an Online BSc in Data Science?
Mathematics is an important subject in Data Science. Some universities require Mathematics or Statistics in Class 12, while others provide preparatory learning or admission assessments for eligible students.
6. Can Commerce students pursue an Online BSc in Data Science?
Yes, eligible Commerce students can apply to selected universities. However, they must meet the institution’s academic requirements and any prescribed Mathematics or Statistics conditions.
7. Is an Online BSc in Data Science valid in India?
An online undergraduate degree can be valid when the university is authorised to offer the specific programme in online mode for the relevant admission session. Students should verify the programme’s regulatory status before enrolling.
8. What subjects are included in an Online BSc Data Science course?
Common subjects include Mathematics, Statistics, Python Programming, Database Management, Data Analytics, Machine Learning, Artificial Intelligence and Data Visualisation.
9. Can working professionals pursue an Online BSc in Data Science?
Yes. The online format can offer flexibility to working professionals. However, applicants should review class schedules, assessment requirements and the time needed for assignments and projects.
10. What jobs can I pursue after an Online BSc in Data Science?
Graduates can explore entry-level opportunities as Data Analysts, Business Intelligence Analysts, Database Analysts, Data Visualisation Specialists and Junior Data Scientists, depending on their skills and experience.
11. Can I pursue an MSc after completing an Online BSc in Data Science?
Yes, graduates can apply for relevant postgraduate programmes if they satisfy the university’s admission requirements. The accepted degree title, subject background and minimum marks should be checked before applying.
12. Does an Online BSc in Data Science include practical training?
Many programmes include practical assignments, coding exercises, projects and analytical activities. The amount of practical training depends on the university’s curriculum and academic delivery model.
