B.Tech in Data Science and Engineering: Course, Admission, Eligibility, Fees, Jobs, Scope

BTech Data Science and Engineering- Important Dates and Events

• JEE Advanced Admit Card Release Date- 11th May 2025

• JEE Advanced Exam Date- 18th May 2025

• COMEDK UGAT Examination Date- 10th May 2025

BTech Data Science and Engineering Course Details- Highlights

The BTech in Data Science and Engineering is a four-year undergraduate programme that focuses on data analysis, machine learning, and programming skills. Mentioned below is a detailed overview of the course, including its eligibility, admission process, fee structure, top recruiters, average salary, and the career opportunities available after completing the degree.

BTech Data Science and Engineering Course Details

In this section, we will highlight essential details about the BTech course in Data Science and Engineering. These key points will provide valuable insights for students interested in pursuing this programme. Understanding these aspects will help students navigate their academic journey and explore the broader scope of the BTech degree.

• IIT Mandi is the first Indian Institute of Technology (IIT) to offer the BTech in Data Science and Engineering.

• Among the 560 institutions offering this course, two IITs (IIT Mandi and IIT Palakkad) and one NIT (NIT Jalandhar) provide the BTech Data Science Engineering programme.

• All BTech Data Science courses are offered in a full-time format.

• Both co-ed and gender-specific colleges offer the BTech Data Science course.

• Data Science BTech colleges are spread across approximately 25 states and over 200 cities in India.

• Enhanced placement opportunities: For example, 97% of students in the BTech DSE programme secured placements, with an average CTC of Rs. 32.3 LPA. [Source: IIT Mandi Placement Report 2022-23]

BTech Data Science and Engineering Eligibility Criteria

To pursue BTech Data Science and Engineering, students must meet the eligibility requirements. The eligibility criteria for BTech Data Science and Engineering vary from one college to another. In the table below, we have discussed the eligibility requirements of BTech Data Science.

BTech Data Science and Engineering Admission Process

BTech Data Science colleges admit students based on either entrance exam scores or their 10+2 results. The admission process for government institutions is generally more stringent than that of private colleges. In this section, we will outline the detailed admission procedure for the BTech Data Science programme.

• Candidates must complete the application form for the entrance exams with the required information.

• They need to appear for entrance exams such as JEE Main, TS EAMCET, AP EAMCET, or MHT CET.

• Once qualified, candidates must attend the counselling session.

• Seats are assigned based on the entrance exam results.

• Some colleges may offer direct admission based on 10+2 marks.

• The final step is to submit the necessary documents and pay the required fees for confirmation of admission.

BTech Data Science and Engineering Entrance Exams

To gain admission in the BTech Data Science course in top Engineering colleges in India, candidates must clear entrance exams held at the national, state, or university levels. Below are some of the leading entrance exams that aspiring students should consider to secure a spot in the best institutions offering this course.

Also Read: Last Minute Revision Tips for JEE Advanced 2025

BTech Data Science and Engineering CutOff

The BTech Data Science and Engineering cutoff is a key criterion used to assess a student's merit or exam performance. It is determined by the qualifying examinations, the number of applicants, and the specific requirements of each institution.

The JEE cutoff is one of the major factors influencing the eligibility for top institutions offering this course. In the table below, we have listed the BTech Data Science course cutoff for IIT Mandi for 2024:

BTech Data Science and Engineering Syllabus

The BTech Data Science syllabus is structured across four academic years, with each year divided into two semesters. Each semester includes core subjects, lab sessions, and electives that build skills in coding, statistics, and data management. This BTech Data Science syllabus is from the IIT Mandi:

BTech Data Science and Engineering First Year Syllabus

The first-year BTech Data Science syllabus focuses on building a strong foundation in engineering principles and basic data science. Subjects like Engineering Mathematics, Linear Algebra, and Computing introduce core analytical skills. Labs and design-based courses help improve practical knowledge. This year also includes communication and humanities subjects for overall development.

BTech Data Science and Engineering Second Year Syllabus

The second year of the BTech Data Science programme introduces analytical and computational concepts, including data structures, electrodynamics, and mathematical foundations. Students also engage in hands-on learning through labs and design practices, building a strong base in statistics and programming to handle more complex data science challenges ahead.

BTech Data Science and Engineering Third Year Syllabus

In the third year of the BTech Data Science programme, students explore advanced topics such as statistical learning, data security, and optimisation techniques. Core and elective subjects offer flexibility to specialise in areas of interest. Practical sessions and interdisciplinary courses improve both theoretical understanding and real-world application of data science concepts.

BTech Data Science and Engineering Fourth Year Syllabus

The fourth year of the BTech Data Science programme primarily focuses on electives and project work. Students can choose from various discipline-specific and open electives to tailor their learning path. This phase also includes Major Technical Projects (MTP) to apply knowledge in solving complex data-driven problems before graduation.

BTech Data Science and Engineering Course Fees

The BTech Data Science course fee varies depending on the institution. It typically ranges from Rs. 6,000 to Rs. 18 lakhs. Private colleges generally charge higher fees than public ones. On average, the BTech Data Science course fee is approximately Rs. 5 lakhs, but it is essential to research the specific college’s fee structure.

BTech in Data Science and Engineering Scope

Data Science is an emerging field in India and has rapidly gained popularity. As India continues to embrace digital transformation, the demand for skilled data science engineers is increasing significantly. The scope for these professionals spans various industries, including communications, media, entertainment, education, and outsourcing.

Career Options After BTech Data Science Engineering

After completing BTech in Data Science, graduates can explore a wide range of career opportunities across various industries, including technology, finance, and healthcare. These roles offer excellent growth potential and competitive salaries. Here are some of the top job roles along with their average salary.

Source: Ambition Box

Top Recruiters:

• IBM

• Wipro

• Infosys

• Deloitte

• Google

• Microsoft

• Amazon

• Flipkart

• Meta

• Cognizant

Benefits of Studying Data Science and Engineering

One of the key benefits of studying Data Science and Engineering is the opportunity to work in data security. Data scientists play a crucial role in fraud prevention systems, safeguarding clients. Additionally, data science helps organisations to merge various data types, leading to deeper business insights and market understanding.

Difference Between Data Science And Data Analytics

Data Science and Data Analytics are closely related but differ in their approach. Data Science focuses on predicting future trends using AI and advanced algorithms, while Data Analytics focuses on understanding past trends. The table below highlights the key differences between Data Science and Data Analytics.

Note: Salary structure and job market are taken from trusted sources like Ambition Box and the U.S. Bureau of Labour Statistics.

BTech Data Science and Engineering Salary Trends

The salary for Data Science and Engineering professionals varies significantly based on experience, skills, and the company they work for. With each passing year, professionals gain expertise, leading to increased promotions and higher salaries. Below are some salary trends from leading private recruiters in the industry.

Amazon Data Science Salary

Amazon offers competitive salaries for various job roles in Data Science and Engineering. With its global presence, Amazon provides excellent opportunities for career growth in this field. Salaries here are reflective of the skills and experience that professionals bring to the table.

Source: Ambition Box

IBM Data Science Salary

IBM is another top recruiter in the Data Science and Engineering field. Known for its research and development, IBM offers a variety of roles for professionals in data science. The company values continuous learning and development, and this is reflected in their attractive salary packages.

Top Private BTech in Data Science and Engineering Colleges in India

A BTech in Data Science and Engineering is offered by more than 500 private Indian institutes. However, pursuing this course at a private university is much more expensive than at a public university. Here are some of the best private colleges in India offering a BTech Data Science course, along with their fee structure:

Top Government B.Tech Data Science and Engineering Colleges in India

It is less expensive to attend a government-run college than a private college. These colleges are well-known throughout India for their high academic standards. Some of the best government BTech Data Science colleges in India are listed below:

The BTech Data Science course provides students with essential skills to extract valuable insights from raw data. Graduates are prepared to tackle complex problems and make informed decisions across various industries. With growing demand, this field offers excellent career opportunities and growth potential.