B.Sc. Data Science Admission 2026–27: Eligibility, Fees, Colleges and Career Options

What is a BSc Data Science Course?

Bachelor of Science in Data Science shortly known as BSc Data Science focuses on training the students with required knowledge and skills in data analytics, machine learning, and statistics to analyze real-world problems concerning big data using various tools, technology, mathematical modeling, and more. 

BSc Data Science curriculum aims to develop skills in students to extract and analyze the given data to solve problems through data analysis. The students will also be trained in visualizing large sets of data and screening the relevant data required to solve the phenomena. BSc in Data Science graduates work in roles such as Business Analyst, Data Scientist, Data Analyst, Data Architect, Data Mining Expert etc. The average BSc Data Scientist’s salary ranges from INR 3.5-7 LPA.

BSc Data Science Eligibility Criteria

The admission procedure for BSc Data Science course requires the candidate to fulfill a set of eligibility criteria such as merit score, subject requirement, age limit, etc. Listed below are the common eligibility criteria for the BSc Data Science course

• The candidate must have completed 10+2 with 50% marks with Physics, Chemistry, and Mathematics as mainstream subjects from a recognized institution or board and clear entrance examinations such as NPAT,CUET, CUSAT, etc, and score at least 50% marks.
• There is no minimum age limit to enroll in the B.Sc Data Science course.

Common eligibility requirements include:

• Completion of Class 12 or an equivalent qualification.

• Mathematics in Class 12, where required by the programme.

• The minimum aggregate marks prescribed by the university.

• Qualification in an entrance examination, if applicable.

• Fulfilment of additional conditions mentioned in the official admission prospectus.

Why Choose a BSc in Data Science Course?

BSc Data Science course is one of the most popular courses among students worldwide due to its demand, future scope, and career progression in the field of data science. Here are a few important pointers on why choosing a BSc Data Science course can be rewarding for students:

• According to the Bureau of Labor Statistics, the employment of data scientists is projected to grow 35 percent from 2022 to 2032, much faster than the average for all occupations.
• Data scientists had around 17,700 new openings each year for the past decade and the number is expected to grow exponentially in the coming years.
• Another report by Grand View Research estimates that the data science industry will see a compound annual growth rate (CAGR) of 26.9% from 2020 to 2027, reaching a revenue value of $25.94 billion.

B.Sc. Data Science Admission Process 2026–27

The admission procedure depends on the university and the programme. Candidates should follow these steps.

Step 1: Shortlist universities

Compare degree titles, course duration, fees, curriculum, eligibility and study mode. Confirm that the institution offers the programme for the intended intake.

Step 2: Check eligibility

Review the official admission prospectus to confirm the minimum marks, required subjects and any age or other conditions.

Step 3: Complete the application form

Register through the university’s official admission portal and enter your personal and academic details accurately.

Step 4: Apply through the prescribed admission route

Depending on the university, admission may be based on Class 12 marks, CUET-UG, a university entrance test, an aptitude assessment or another specified process.

Step 5: Participate in the selection process

Complete the examination, interview, counselling or document verification stages required by the institution.

Step 6: Check the admission result

Review the official merit list, selection result or seat-allocation notice.

Step 7: Pay the prescribed fee

If selected, pay the applicable admission and tuition fees by the deadline and complete the joining formalities.

B.Sc. Data Science Entrance Exams 2026–27

Not every university requires an entrance examination. Some institutions admit students based on Class 12 marks, while others use a common entrance test or their own selection process.

Candidates should not assume that CUET-UG, NPAT, SET or any other examination is accepted by every B.Sc. Data Science college. Verify the accepted entrance route on the official programme page.

B.Sc. Data Science Admission 2026–27: Important Dates

There is no single national application schedule for all B.Sc. Data Science programmes. Many regular undergraduate admission rounds take place earlier in the year, while some institutions offer separate intakes.

The following table gives exact dates for a currently advertised programme and distinguishes them from a national admission schedule.

Important: IIT Guwahati’s programme is an online B.Sc. (Hons.) in Data Science and Artificial Intelligence. Its January 2027 cohort has a separate admission schedule, so these dates should not be used as the deadline for other colleges.

Candidates should confirm that applications are still open before applying. If a university has closed its admission window, check whether it has officially announced a further round or a subsequent intake.

B.Sc. Data Science Fees 2026–27

The BSc in Data Science is one of the popular and in-demand courses that can be pursued either full-time or through distance learning based on the candidate’s preference. Listed below are the BSc Data Science course details:

Distance BSc Data Science Course 

BSc in Data Science Course is recognized by UGC-DEB and enables the student to pursue the course during their flexible time in a cost-effective way. Below are some of the important details about the BSc Data Science course

• BSc Data Science courses can be pursued in colleges such as IMTS, Jain University, IGNOU, and more.
• The BSc Data Science course fee ranges from INR 12,500- 25,000 per year.
• The course duration can be extended to five years, depending on the coursework completed by the student.
• No entrance exam is required to get admission into distance education BSc Data Science courses.

BSc in Data Science Syllabus and Subjects

The first-year BSc Data Science syllabus covers topics such as Linear Algebra, Basic Statistics, Programming in C Lab, etc. and the second-year BSc Data Science syllabus covers subjects such as Data Warehousing and Multidimensional Modelling, Operation Research and Optimisation Techniques, Time Series Analysis, etc. 

The third-year syllabus focuses on subjects such as Big Data Analytics, Data Visualization, Programming in Python Lab, etc. Listed below is the BSc Data Science subjects semester wise:

Read More: BSc Data Science Syllabus and Subjects

BSc Data Science College Comparison

The BSc in Data Science course is offered by top colleges with a key focus on equipping students with the skills required to extract, analyze, and visualize data using various technologies and tools. Below listed is the comparison of courses for the top 3 colleges offering BSc in Data Science course.

BSc Data Science Vs BCA Data Science

Bachelor of Computer Application courses focus majorly on computer science as subjects along with software applications using data science whereas the BSc Data Science course focuses less on software operations and more on developing algorithms that can identify patterns in data. 

The table below showcases the differences between BSc in Data Science and BCA Data Science:

Read More: BCA Data Science

Salary of a BSc Data Science Graduates in India

The average BSc Data Science Salary in India ranges from INR 3.5-7 LPA and the range can go up to INR 8 LPA with 3-5 years of work experience. Below listed are job roles for BSc in Data Science graduates along with their average entry-level salaries

Read More: B.Sc Data Science Salary and Job Scope

Courses After BSc Data Science

After successful completion of the BSc Data Science course, students can opt for higher education to gain in-depth knowledge about data science, data analytics, and machine learning technologies for better career opportunities.

Listed below are some of the courses which can be pursued after B Sc Data Science

• M.Sc Computer Science
• MCA
• MBA Data Science
• MA Data Science
• Post Graduate Diploma in Management (PGDM) in Data Science
• Business Accounting and Taxation (BAT)
• Certified Financial Planner (CFP)

Careers Options After B.Sc in Data Science

The career options in the field of data science are vast and the students will be employed in top MNCs such as Amazon, Meta, Microsoft, Capgemini, etc upon graduation. Below listed are a few career options after a BSc in Data Science along with job roles, descriptions, and hiring companies.

Top Recruiters for BSc Data Science

B.Sc Data Science graduates are recruited by various private and government companies such as TCS, L&T Technologies, Accenture, IBM, RBI, etc. Listed below are a few recruiters for BSc Data Science graduates:

BSc Data Science Scholarships

Students who want to pursue  BSc Data Science can get scholarships from private and government colleges or schemes based on merit score, annual income, and other related factors. Tabulated below are some of the scholarships for BSc in Data Science students:

Read More: BSc Scholarships

Top 3 Cities to Pursue BSc Data Science Course

Below listed are the top 3 cities to pursue a BSc Data Science course based on top colleges, average living expense, top recruiters, and average starting salary:

Skills to Excel as a BSc Data Science Graduate

To become a successful professional in the field of data science, candidates must sharpen both soft skills and technical skills. Below listed are some of the important skills required for BSc Data Science Graduates:

• Technical Skills: The candidates must be tech savvy and should be able to use all software tools related to data visualisation, data analysis, machine learning etc.
• Microsoft Excel: Data Science graduates should be able to work with Microsoft Excel as it serves as an all-in-one data management software that allows you to easily import, manage and visualise data.
• Critical Thinking: As the candidates work with big data and numbers, it is highly important for them to critically analyse and visualise data to identify problems and solutions.

Subjects in BSc Data Science

B.Sc Data Science subjects enhance students’ skills in data collection, analysis, interpretation and making data-driven decisions. This degree focuses on statistical methods, machine learning, data visualization, and programming. The B.Sc Data Science subjects are divided into core and elective courses, which are delineated in the sections below.

Core BSc Data Science Subjects

The core subjects under BSc Data Science equip students with foundational knowledge and skills critical for a comprehensive understanding of Data Science. The core BSc Data Science subjects generally provided across most top colleges include:

• Programming
• Data Structures and Algorithm
• Statistics for Data Science
• Mathematics for Data Science
• Database Management
• Data Privacy and Security
• Python, Java, C, R
• Data Handling and Visualization
• Big Data Analytics
• Deep Learning

Elective BSc Data Science Subjects

Elective subjects enable students to tailor their education based on personal interests, the potential for advanced study, and diverse career opportunities in the field of Data Science. The list of elective subjects under BSc Data Science includes:

• Time Series Analysis
• Predictive Modelling and Analytics
• Social Network Analytics
• Information Retrieval and Processing 
• Conditional Monitoring Techniques for Data Science
• Operating System
• Tensor Flow 

BSc Data Science Subjects in Detail

BSc Data Science covers a range of subjects that develop skills to work with data and drive insights such as computer science and programming, machine learning, data visualization, text mining, data mining, etc. The important subjects covered in B.Sc Data Science syllabus are explored in detail in the following table:

Semester-Wise BSc in Data Science Syllabus

B.Sc Data Science subjects 1st year focuses on foundational principles in data science while 2nd year delves into practical applications, and the 3rd year covers advanced topics and a hands-on project for specialized skill development. The BSc Data Science syllabus semester-wise is detailed below.

BSc Data Science 1st Semester Syllabus

BSc Data Science 1st year program introduces students to the foundational principles of data science, covering topics such as statistics, programming, and data structure fundamentals. This first year BSc in Data Science syllabus is detailed in the table below:

Practical Topics in First Year B.Sc Data Science Syllabus

The practical subjects taught in the B.Sc Data Science subjects 1st year are as follows

• Database Management System Lab
• Java Programming Lab

Second Year BSc Data Science Syllabus Semester Wise

BSc Data Science second year syllabus explores subjects like business analytics, machine learning, and data management, gaining proficiency in Python and R. The practical labs enhance their technical skills. The second year BSc Data Science syllabus semester wise is given below:

Practical Topics in Second Year B.Sc Data Science Syllabus

The second-year BSc in Data Science subjects for practicals are listed below:

• Python
• Machine Learning Lab
• Technology Lab
• Statistics Lab

Third Year BSc Data Science Syllabus Semester Wise

The third year is dedicated to advanced topics in data science, including big data analytics, deep learning, and natural language processing. Students also work on a significant project that allows them to apply their knowledge. The third year BSc Data Science syllabus is listed in the table below:

Practical Topics in Third Year B.Sc Data Science Syllabus

The third-year BSc in Data Science subjects for practicals are listed below:

• Relational Database Management System Lab 
• Big Data and Analytics Lab
• Statistics Lab
• Mathematics Lab

College-Wise BSc Data Science Syllabus

The subjects and syllabus for BSc Data Science can differ across colleges, reflecting their unique curriculum and educational objectives. To access and download the BSc Data Science syllabus pdf, students should visit the official website of their selected university. Here’s a general outline of the syllabus of the top BSc Data Science colleges in India.

SVKM’s NMIMS BSc Data Science Syllabus

The BSc Data Science course at NMIMS delves into a comprehensive curriculum. It spans six semesters and equips students with a broad skill set to excel in the field of data science, culminating in a capstone project and research initiatives. The BSc Data Science syllabus semester-wise is provided in the tables below:

Hindustan University BSc Data Science Syllabus

Hindustan University’s BSc Data Science course explores topics like machine learning, data security, and big data analytics. B.Sc Data Science syllabus also provides flexibility with electives and a focus on real-world application through internships and projects. The semester-wise BSc Data Science syllabus semester wise is detailed below.

BSc Data Science Project Topics

Projects are an integral tool of the BSc Data Science syllabus that bridges the gap between theory and practice. Listed below are some useful project topics for students to refer to:

• Build a customer churn prediction system for a business to identify and retain at-risk customers.
• Develop an anomaly detection system to enhance cybersecurity.
• Analyze healthcare data to identify trends, patient outcomes, and potential improvements in healthcare delivery.
• Build a recommendation system using collaborative filtering techniques
• Develop a model for predicting energy consumption in a smart city.
• Design a tool that helps organizations ensure data ethics and privacy compliance

BSc Data Science Course Structure

The course structure for a BSc Data Science typically comprises a combination of core subjects, elective courses, and practical components. While specific courses may vary by university and field of study, a BSc course structure often follows a pattern:

• Three years
• Six Semesters
• Core and Elective courses
• Seminars
• Practical Lab
• Guest lecturers
• Projects

BSc Data Science Teaching Methodology and techniques

The teaching methods and techniques in higher education such as B.Sc Data Science have evolved to engage and educate students effectively. A combination of traditional and modern approaches is often employed by BSc Data Science colleges in India. The methods include:

• Lectures
• Practical Learning
• Laboratory Work
• Project Work
• Case Studies
• Guest Lectures
• Coding Practice
• Internships
• Assessment
• Research Projects