Datta Meghe Institute B.Tech Admissions 2025
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BTech Data Science and Engineering is a four-year undergraduate course divided into eight semesters. This programme teaches how to collect, clean, and analyse data for meaningful insights. Candidates who have completed 10+2 with a science stream can apply for the BTech Data Science course in India.
With rising demand for data experts, BTech in Data Science is now offered by over 500 institutes, including top IITs and NITs. Data Science course fees range from Rs. 6,000 in government colleges to Rs. 24 lakhs in some private universities, depending on the institution.
This engineering in data science course focuses on handling large datasets and extracting useful information from them. After completing the course, graduates can work as Data Scientists, Data Analysts, Statisticians, and Business Analysts. In India, the average Data Scientist salary is around Rs. 14.4 LPA, making it a high-paying and in-demand career.
JEE Advanced Admit Card Release Date- 11th May 2025
JEE Advanced Exam Date- 18th May 2025
COMEDK UGAT Examination Date- 10th May 2025
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.
Particulars | Values |
---|---|
Course Name | BTech in Data Science and Engineering |
BTech Data Science Course Duration | 4 Years |
BTech Data Science Eligibility Criteria | 10+2 (with Physics, Chemistry, and Mathematics with a minimum of 50 per cent marks) |
BTech Data Science Admission Process | Entrance Exam/Merit-Based |
BTech Data Science Entrance Exam | JEE Main, TS EAMCET, AP EAMCET, UPCET, MHT CET, COMEDK UGET, JEE Advanced |
BTech Data Science Fees | Rs. 6,000 to Rs. 18 Lakhs |
BTech Data Science Salary | Rs. 7 LPA |
BTech Data Science Top Recruiters | Amazon, Flipkart, Cognizant, Wipro, IBM, Infosys, Deloitte, Walmart, Genpact, Accenture, Microsoft, Reliance |
BTech Data Science Job Roles | Data Analyst, Data Scientist, Statistician, Business Analyst |
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]
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.
Particulars | Values |
---|---|
Eligibility criteria | 10+2 in the Science stream from a recognised board in India |
Minimum aggregate score | 50 per cent marks |
Subjects required | Physics, Maths, Chemistry, and Computer Science |
Entrance Exam | JEE Main, JEE Advanced, BITSAT, SRMJEE, VITEEE, WBJEE, KEAM Exam, MHT CET |
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.
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.
Exam Name | Conducting Body | Exam Date |
---|---|---|
National Testing Agency (NTA) | ||
Karnataka Examinations Authority | ||
JNTU Kakinada | ||
West Bengal Joint Entrance Examinations Board | ||
State Common Entrance Test Cell - Maharashtra State |
Also Read: Last Minute Revision Tips for JEE Advanced 2025
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:
Categories | First Round (Closing Rank) | Last Round (Closing Rank) |
---|---|---|
General | 3837 | 3918 |
OBC | 1608 | 1679 |
SC | 943 | 977 |
ST | 477 | 615 |
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:
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.
Semester 1 | Semester 2 |
---|---|
Engineering Mathematics | Linear Algebra |
Computing and Data Science | Data Science 2 |
Electrical Systems Around Us | Applied Electronics |
Electrical Systems Around Us Lab | Applied Electronics Lab |
Graphics for design | Engineering Thermodynamics |
Reverse Engineering | Product Realisation Technology |
HSS Course: Creative Understanding (5WIP) | Product Realisation Technology Labs |
English 1 | Language Basket Course |
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.
Semester 3 | Semester 4 |
---|---|
Mechanics of Particles and Waves | Materials Science for Engineers |
Data handling and visualisations | Foundations of Electrodynamics |
Mathematical Foundations of Data Science I | Physics Practicum |
Data Science 3 + Lab | Continuum Mechanics |
Signals and Systems | Design Practicum |
HSS Course | Introduction to Data Structures and Algorithms |
- | Statistical Foundations of Data Science |
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.
Semester 5 | Semester 6 |
---|---|
Mechanics of Rigid Bodies | Introduction to Statistical Learning |
Understanding Biotechnology & Its Applications | Computing Systems for Data Processing |
Applied Chemistry for Engineers | Optimisation for Data Science |
Chemistry Practicum | Discipline elective |
Matrix Computations for Data Science | Discipline elective |
Mathematical Foundations of Data Science II | Open Elective |
Information Security and Privacy | - |
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.
Semester 7 | Semester 8 |
---|---|
Discipline elective | Open Elective |
Discipline elective | Open Elective |
Open Elective | Open Elective |
Open Elective | Open Elective |
Open Elective | MTP-II |
MTP-I | - |
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.
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.
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.
Job Roles | Description | Average Salary (LPA) |
---|---|---|
A data analyst collects, analyses, and performs statistical studies on large amounts of data. The job description of a data analyst includes determining how to offer data to respond to questions and handle challenges. | Rs. 6.5 LPA | |
Big data wranglers are data scientists who collect and analyse massive amounts of data from a variety of sources. To combine large amounts of data, they create incredibly sophisticated algorithms. | Rs. 14.4 LPA | |
A statistician is a mathematician who analyses data and draws conclusions using their analytical talents. He or she works in a corporate setting. A statistician may be required to travel on occasion to supervise surveys or collect data. | Rs. 5.8 LPA | |
A business analyst examines a company's operations. He or she conducts research and analyses data to gain a better understanding of the firm. | Rs. 9.6 LPA | |
An ML Engineer designs machine learning models to solve complex problems and optimise processes. He works on data processing, model training, and integration to ensure systems perform effectively in real-world applications. | Rs. 10.4 LPA |
Source: Ambition Box
IBM
Wipro
Infosys
Deloitte
Microsoft
Amazon
Flipkart
Meta
Cognizant
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.
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.
Features | Data Science | Data Analytics |
---|---|---|
Area of Study | Combines knowledge from statistics, computer science, mathematics, and domain expertise. Uses ML, AI, and advanced algorithms. | Focuses on understanding past events and reasons. Involves summarising historical data and identifying trends. |
Languages/Technologies | Python, R, and sometimes Java or Scala. | Excel, SQL, and business intelligence (BI) tools. |
Tools | Uses tools like Hadoop, Spark, and various data storage systems. | Commonly uses Tableau, Power BI, or Looker. |
Outcome | Builds predictive models and gives actionable recommendations. | Emphasises data visualisation and reporting to convey insights. |
Average Salary | Rs. 14.4 LPA (Data Scientist) | Rs. 6.4 LPA (Data Analyst) |
Job Market | A 35 per cent growth rate is projected from 2022 to 2032. | A 25 per cent growth rate is expected over the next decade. |
Note: Salary structure and job market are taken from trusted sources like Ambition Box and the U.S. Bureau of Labour Statistics.
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 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.
Job Roles | Average Salary (LPA) |
---|---|
Data Analyst | Rs. 3.5 LPA |
Business Analyst | Rs. 7 LPA |
Data Scientist | Rs. 12.8 LPA |
Rs. 10 LPA |
Source: Ambition Box
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.
Job Roles | Average Salary (LPA) |
---|---|
Data Analyst | Rs. 4 LPA |
Data Engineer | Rs. 6 LPA |
Rs. 5.6 LPA | |
ML Engineer | Rs. 9.5 LPA |
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 Colleges | NIRF Ranking | Fees |
---|---|---|
19 | Rs. 7.80 lakhs | |
24 | Rs. 11.45 lakhs | |
21 | Rs. 17 lakhs | |
Kalasalingam Academy of Research and Education, Virudhunagar | 50 | Rs. 4.51 lakhs |
45 | Rs. 16 lakhs | |
56 | Rs. 19.48 lakhs | |
85 | - | |
101-150 | Rs. 15.02 LPA | |
Vignan's Foundation for Science Technology and Research, Guntur | 101-150 | - |
99 | - |
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:
Top Colleges | NIRF Ranking | Fees |
---|---|---|
72 | Rs. 8.63 lakhs | |
101-150 | Rs. 7.44 lakhs | |
101-150 | Rs. 9.38 lakhs | |
101-150 | Rs. 8.93 lakhs | |
101-150 | Rs. 7.63 lakhs | |
101-150 | Rs. 2.79 lakhs | |
151-200 | Rs. 3.91 lakhs | |
78 | - | |
NA | Rs. 9.22 lakhs | |
NA | Rs. 6.40 lakhs |
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.
BTech in Data Science and Engineering is a four-year undergraduate-level degree course divided into eight semesters. It deals with the study of the extraction of information from an enormous amount of data present in an organisation’s depository.
Candidates must have passed Class 12 with Science stream (PCM) from any recognised board in India, with a minimum of 50 per cent aggregate (5 per cent relaxation to SC/ST students).
In most colleges selections are done through entrance exams such as JEE Main, JEE Advanced, BITSAT, SRMJEEE, VITEEE, SITEEE, and AMUEEE.
The salary of a data science engineer will differ from person to person depending upon their capabilities and experience. The average salary of a data scientist in India is Rs 14.4 LPA.
With 74.19 percentile in JEE Main 2025, here are some good B.Tech CSE colleges in Delhi NCR you can consider:
1. Jamia Millia Islamia (JMI) – 64.6K total fees
2. GGSIPU Colleges (like ADGITM, BVCOE, MSIT) – 4.5–6.5 lakhs
3. Indira Gandhi Delhi Technical University for Women (IGDTUW) – 5.2 lakhs (for girls only)
4. GNIOT, Greater Noida – 1.4 lakhs/year
Apply through JoSAA, IPU CET, or direct admissions where eligible
Hello Alok,
Choosing between
CSE or ISE at MSRIT Bangalore
and
CSE at Amrita Vishwa Vidyapeetham Coimbatore
depends on several factors, especially
placement opportunities
,
infrastructure
,
faculty quality
, and
location advantages
. Here's a comparative overview to help you decide:
1. Placement and Package Prospects
:
MSRIT Bangalore (CSE/ISE) :
Strong Industry Connections
: MSRIT is well-known for its industry links, especially in Bangalore, the tech hub of India. The
CSE and ISE branches
have good placement records.
Average Package
: Around
Rs. 6-8 LPA
(varies with batch and skills).
Top Companies
: Companies like
Google, Amazon, Microsoft
, and local IT firms visit for placements.
Amrita Vishwa Vidyapeetham Coimbatore (CSE) :
Nationally Recognized
: Amrita has consistently been ranked among the top private universities for engineering.
Average Package
: Around
Rs. 5-7 LPA
with potential for higher packages depending on performance.
Top Companies
: Companies like
Amazon, Cognizant, TCS
, and others visit for recruitment.
2. Infrastructure & Campus Life
:
MSRIT Bangalore :
Location Advantage
: Located in Bangalore, close to top tech firms, providing ample internship and networking opportunities.
Modern Infrastructure
: Well-equipped labs and facilities.
Amrita Vishwa Vidyapeetham Coimbatore :
Strong Campus
: Known for its
lush campus
and world-class facilities.
Research Focus
: Good emphasis on research and development, which could help in higher studies and specialized fields.
3. Reputation and Rankings
:
MSRIT Bangalore
: MSRIT is a top engineering college in Karnataka with a solid reputation, especially for
Computer Science and Information Science
.
Amrita Coimbatore
: Amrita is consistently ranked highly among private institutions and has a strong focus on
engineering education and research
.
4. Location
:
MSRIT
: Being in
Bangalore
, a city with the highest concentration of tech companies in India, offers great placement opportunities and internship access.
Amrita
: Located in
Coimbatore
, it’s slightly more isolated but still provides ample opportunities through
on-campus recruitment
.
5. Final Recommendation
:
If
placement opportunities
and access to top tech companies are your primary concern,
MSRIT Bangalore
could be a better option, especially because of its location in Bangalore.
If you prefer a holistic environment with a strong research focus and are looking for a slightly less competitive environment, Amrita Coimbatore is also an excellent choice.
Ultimately, both are good institutions, but if your goal is
industry placement
, MSRIT might offer a slight edge due to its proximity to the tech ecosystem in Bangalore.
I hope this answer helps you. If you have more queries, then feel free to share your questions with us, we will be happy to assist you.
Thank you, and I wish you all the best in your bright future.
Hello,
I can keep you posted about the date of the upcoming BE/BTech exams, and as and when necessary, update you on other information; however, if you seek continuous, up-to-the-minute information relevant to your engineering exams, then it would be a good option to subscribe to services provided by Careers360. It provides broad coverage in respect of entrance exams regarding college admissions; this is well-come for notification, registration date, the final application form submission dates along with a schedule and important dates pertaining to several tests including those for Engineering including JEE Main and Advance, BITSAT, VITEEE, and those of their state versions that include MHT CET as well as AP EAMCET.
I can assist you with specific exam overviews, syllabus, and preparation strategies whenever you need it.
Hello there,
IIT Delhi offers a variety of B.Tech and dual degree programs across multiple engineering disciplines. As of the latest information, here are the undergraduate programs available at IIT Delhi:
1. B.Tech Programs:
- Computer Science and Engineering
- Electrical Engineering
- Mechanical Engineering
- Civil Engineering
- Chemical Engineering
- Engineering Physics
- Production and Industrial Engineering
- Textile Technology
- Biochemical Engineering and Biotechnology
- Mathematics and Computing (B.Tech and M.Tech Dual Degree)
- Engineering and Computational Mechanics
2. Dual Degree Programs (B.Tech + M.Tech):
- Biochemical Engineering and Biotechnology
- Chemical Engineering
- Electrical Engineering (Power and Automation)
These offerings can change, so it's always good to check the latest information on the official IIT Delhi website or the Joint Seat Allocation Authority (JoSAA) portal.
Hello there,
IIT Kanpur offers a variety of B.Tech and dual degree programs across different departments. As of the latest information available, the following B.Tech and dual degree (B.Tech-M.Tech) programs are offered at IIT Kanpur:
1. Aerospace Engineering (AE)
2. Biological Sciences and Bioengineering (BSBE)
3. Chemical Engineering (CHE)
4. Civil Engineering (CE)
5. Computer Science and Engineering (CSE)
6. Electrical Engineering (EE)
7. Materials Science and Engineering (MSE)
8. Mechanical Engineering (ME)
Additionally, IIT Kanpur offers dual degree programs (B.Tech-M.Tech) in some of these disciplines, allowing students to earn both bachelor's and master's degrees.
For the most accurate and up-to-date information, you can check IIT Kanpur's official website or the Joint Seat Allocation Authority (JoSAA) counseling brochure.
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