Skip to main content

M.Tech in Computer and Data Science: Admission, Colleges, Syllabus, Placement, Salary 2023

M.Tech in Computer and Data Science Introduction What is M.Tech in Computer and Data Science? M.Tech in Computer and Data Science is a postgraduate program that focuses on providing students with a comprehensive understanding of the theoretical and practical aspects of computer science and data analytics. M.Tech in Computer and Data Science course curriculum includes […]

 Saurav Anand
12/04/2023
|12/04/2023 | Share:
Digital Marketer | Content Specialist & Researcher | Content Marketing @FormsADDA @Formfees- Empowering individuals to unlock the potential of their businesses through the limitless opportunities... read more
 Saurav Anand 12/04/2023
mtech computer and data science

M.Tech in Computer and Data Science Introduction

What is M.Tech in Computer and Data Science? M.Tech in Computer and Data Science is a postgraduate program that focuses on providing students with a comprehensive understanding of the theoretical and practical aspects of computer science and data analytics. M.Tech in Computer and Data Science course curriculum includes subjects like data structures, algorithms, statistical analysis, machine learning, data mining, and big data technologies. M.Tech in Computer and Data Science equips students with the necessary knowledge and skills required to pursue careers in industries such as finance, healthcare, retail, and e-commerce, among others. Graduates of the program can also pursue careers in research and development, teaching, and entrepreneurship.

M.Tech in Computer and Data Science program is designed to provide students with industry-relevant skills, enabling them to take up careers as data scientists, data analysts, machine learning engineers, and business analysts. M.Tech in Computer and Data Science coursework is a blend of theoretical and practical subjects, providing students with hands-on experience in programming languages, tools, and techniques used in data science. M.Tech in Computer and Data Science program also provides students with research opportunities, encouraging them to undertake research projects under the guidance of experienced faculty members.

Overall, an M.Tech in Computer and Data Science program is an excellent choice for students interested in pursuing a career in the rapidly growing field of data science. It provides them with a strong foundation in computer science and data analytics, enabling them to solve real-world problems and make significant contributions to their chosen fields.

M.Tech in Computer and Data Science Highlights

A Master of Technology M.Tech in Computer and Data Science is a postgraduate program designed for students interested in pursuing a career in the rapidly growing field of data science. M.Tech in Computer and Data Science course focuses on providing students with a comprehensive understanding of the theoretical and practical aspects of computer science and data analytics.

Some of the key highlights of an M.Tech in Computer and Data Science program include:

  • Curriculum: The curriculum of an M.Tech in Computer and Data Science program is designed to provide students with a deep understanding of computer science, data structures, algorithms, machine learning, data mining, and data analytics. M.Tech in Computer and Data Science coursework is usually a blend of theoretical and practical subjects, providing students with hands-on experience in programming languages, tools, and techniques used in data science.
  • Industry-Relevant Skills: M.Tech in Computer and Data Science program is designed to equip students with industry-relevant skills to enable them to take up careers as data scientists, data analysts, machine learning engineers, and business analysts. M.Tech in Computer and Data Science coursework covers areas such as statistical analysis, data visualization, database management, and big data technologies, providing students with a holistic approach to solving real-world problems.
  • Research Opportunities: An M.Tech in Computer and Data Science program provides students with research opportunities, which can lead to publications in top-tier academic journals and conferences. M.Tech in Computer and Data Science program encourages students to undertake research projects under the guidance of experienced faculty members, providing them with the opportunity to apply their knowledge to real-world problems.
  • Job Opportunities: With the increasing demand for skilled data scientists, graduates of an M.Tech in Computer and Data Science program are in high demand. They can take up careers in industries such as finance, healthcare, retail, and e-commerce, among others. Graduates can also pursue careers in research and development, teaching, and entrepreneurship.

In summary, an M.Tech in Computer and Data Science program provides students with a strong foundation in computer science and data analytics, equipping them with the skills and knowledge required to succeed in the rapidly growing field of data science.

Who can pursue M.Tech in Computer and Data Science?

M.Tech in Computer and Data Science is a postgraduate program that is suitable for students who have completed their undergraduate degree in computer science, information technology, mathematics, statistics, or a related field.

M.Tech in Computer and Data Science program is designed for students who are interested in pursuing a career in the field of data science and wish to develop their skills and knowledge in areas such as machine learning, data mining, data visualization, and big data technologies.

Generally, students who have a strong background in computer science and programming languages like Python, Java, or C++ will find this program particularly useful. However, M.Tech in Computer and Data Science program is open to students from a variety of academic backgrounds, and interested students can check with the university or institution offering the program regarding their specific eligibility criteria.

Overall, an M.Tech in Computer and Data Science program is a great choice for students who are interested in the rapidly growing field of data science and want to develop the skills and knowledge required to succeed in this field.

What are the skills required for M.Tech in Computer and Data Science?

M.Tech in Computer and Data Science is a program that focuses on providing students with a strong foundation in computer science and data analytics. M.Tech in Computer and Data Science program is designed to equip students with the necessary knowledge and skills required to pursue careers as data scientists, data analysts, machine learning engineers, and business analysts. Here are some of the key skills required for an M.Tech in Computer and Data Science:

  • Programming Skills: Students should have a strong background in programming languages such as Python, Java, C++, or R. They should be comfortable writing code, debugging, and optimizing algorithms.
  • Data Analysis Skills: Students should be familiar with statistical analysis, data visualization, and data mining techniques. They should be able to work with large datasets and understand how to preprocess data to make it ready for analysis.
  • Machine Learning Skills: Students should be familiar with machine learning algorithms, including supervised and unsupervised learning techniques. They should be able to develop and implement machine-learning models to solve real-world problems.
  • Database Management Skills: Students should have a strong foundation in database management systems and SQL. They should be able to design and implement efficient databases to store and manage large amounts of data.
  • Critical Thinking and Problem-Solving Skills: Students should possess strong critical thinking and problem-solving skills. They should be able to identify and analyze problems, develop solutions, and evaluate the effectiveness of their solutions.
  • Communication Skills: Students should have strong communication skills, including the ability to communicate complex technical information to non-technical stakeholders. They should be able to write technical reports and deliver effective presentations.

Overall, an M.Tech in Computer and Data Science program is designed to provide students with a well-rounded education in computer science and data analytics, equipping them with the skills and knowledge required to succeed in the rapidly growing field of data science.

What are the benefits of M.Tech in computer and Data Science?

M.Tech in Computer and Data Science is a postgraduate program that provides students with a range of benefits, including:

  • In-Demand Career Opportunities: Graduates of M.Tech in Computer and Data Science program are in high demand in various industries, including finance, healthcare, retail, and e-commerce, among others. M.Tech in Computer and Data Science program equips students with the skills and knowledge required to pursue careers as data scientists, data analysts, machine learning engineers, and business analysts.
  • Competitive Salaries: Data Science is a high-paying field, and graduates of the program can expect to earn competitive salaries. Salaries for data scientists and data analysts are among the highest in the technology industry.
  • Dynamic and Fast-Paced Work Environment: Data Science is a rapidly evolving field, and graduates of the program can expect to work in a dynamic and fast-paced environment. They will be challenged to use their skills and knowledge to solve complex problems and develop innovative solutions.
  • Hands-On Experience: M.Tech in Computer and Data Science program provides students with hands-on experience in programming languages, tools, and techniques used in data science. Students will work on real-world projects, enabling them to apply their skills and knowledge in a practical setting.
  • Research Opportunities: M.Tech in Computer and Data Science program provides students with research opportunities, allowing them to undertake research projects under the guidance of experienced faculty members. This will help students to develop research skills and contribute to the field of data science.
  • Strong Foundation in Computer Science: M.Tech in Computer and Data Science program provides students with a strong foundation in computer science and programming languages, enabling them to pursue a range of careers in the technology industry.

Overall, an M.Tech in Computer and Data Science program is an excellent choice for students interested in pursuing a career in the rapidly growing field of data science. It provides them with a comprehensive understanding of computer science and data analytics, enabling them to make significant contributions to their chosen fields.

M.Tech in Computer and Data Science Admission Process

The admission process for M.Tech in Computer and Data Science may vary depending on the institution offering the program. However, here are some general steps that candidates can expect:

  • Application: Candidates must first apply for admission to the M.Tech in Computer and Data Science program by filling out an application form. The application form may be available online or offline, depending on the institution.
  • Entrance Exam: Most institutions require candidates to qualify in an entrance exam, such as GATE (Graduate Aptitude Test in Engineering) or an institution-specific entrance test. The entrance exam score is a crucial factor in the selection process.
  • Shortlisting: Based on the entrance exam score and other eligibility criteria, institutions will shortlist candidates for further evaluation. Shortlisted candidates will be notified via email or phone.
  • Interview: Shortlisted candidates may be required to appear for an interview, which can be conducted in person or online. The interview panel will evaluate the candidate’s technical knowledge, problem-solving skills, and communication skills.
  • Final Selection: Based on the candidate’s performance in the entrance exam and interview, the institution will make the final selection. Selected candidates will receive a formal admission offer from the institution.
  • Document Verification: Once selected, candidates must submit their original documents, such as academic transcripts, entrance exam scores, and proof of English language proficiency, for verification.
  • Payment of Fees: Candidates must pay the admission fees to secure their admission to the M.Tech in Computer and Data Science program. The admission fees may vary depending on the institution.

It is recommended that interested candidates check the specific admission process of the institution they wish to apply to for an M.Tech in Computer and Data Science program. The admission process may differ depending on the institution’s policies and procedures.

What are the eligibility criteria for M.Tech in Computer and Data Science?

The eligibility criteria for M.Tech in Computer and Data Science may vary depending on the institution offering the program. However, here are some general eligibility criteria:

  • Educational Qualifications: Candidates must have a Bachelor’s degree in computer science, information technology, mathematics, statistics, or a related field from a recognized university. The minimum qualifying percentage in the undergraduate program may vary between institutions.
  • Entrance Exam: Most institutions require candidates to qualify in an entrance exam, such as GATE (Graduate Aptitude Test in Engineering) or an institution-specific entrance test. The entrance exam score is a crucial factor in the selection process.
  • Work Experience: Some institutions may prefer candidates with work experience in the field of computer science and data analytics. Work experience can be an advantage during the selection process.
  • English Language Proficiency: Candidates must have proficiency in the English language, as most institutions teach the program in English. Candidates may be required to provide proof of English language proficiency by submitting TOEFL or IELTS scores.
  • Other Requirements: Some institutions may have additional eligibility criteria, such as a minimum age limit, medical fitness, or background checks.

It is recommended that interested candidates check the specific eligibility criteria of the institution they wish to apply to for an M.Tech in Computer and Data Science program. Meeting the eligibility criteria is essential for being considered for admission to the program.

M.Tech in Computer and Data Science Syllabus

The syllabus for M.Tech in Computer and Data Science may vary depending on the institution offering the program. However, here is a general year-wise breakdown of the topics that are typically covered in the program:

Year 1:

·   Data Structures and Algorithms

·   Operating Systems

·   Computer Networks

·   Database Management Systems

·   Object-Oriented Programming with Java

·   Probability and Statistics for Data Science

·   Machine Learning and Data Mining

·   Data Analytics and Visualisation

·   Advanced Programming with Python

·   Big Data Analytics

Year 2:

·   Artificial Intelligence

·   Distributed Systems

·   Cloud Computing

·   Deep Learning

·   Natural Language Processing

·   Data Science Ethics and Privacy

·   Reinforcement Learning

·   Computer Vision

·   High-Performance Computing

·   Capstone Project

In the first year of M.Tech in Computer and Data Science program, students typically focus on building a strong foundation in computer science and data analytics. They learn about programming languages, data structures, operating systems, computer networks, and database management systems. They also learn about probability and statistics, machine learning, and data mining, which are essential for a career in data science.

In the second year of M.Tech in Computer and Data Science program, students typically focus on advanced topics in computer science and data science. They learn about artificial intelligence, distributed systems, cloud computing, deep learning, natural language processing, and computer vision. They also learn about data science ethics and privacy, which are becoming increasingly important in today’s world. The capstone project is typically a culmination of the skills and knowledge learned in the program, where students work on a real-world project to apply their skills and knowledge in a practical setting.

It is important to note that the syllabus may differ depending on the institution offering the program. Some institutions may also offer elective courses that allow students to specialize in a particular area of interest. It is recommended that interested candidates check the specific syllabus of the institution they wish to apply to for an M.Tech in Computer and Data Science program.

M.Tech in Computer and Data Science Top Colleges

Here are some of the top colleges in India offering M.Tech in Computer and Data Science along with their fees structure per annum:

1.     Indian Institute of Technology (IIT) Bombay – Fees: Rs. 2.34 lakhs

2.     Indian Institute of Technology (IIT) Delhi – Fees: Rs. 2.13 lakhs

3.     Indian Institute of Technology (IIT) Kanpur – Fees: Rs. 1.53 lakhs

4.     Indian Institute of Technology (IIT) Madras – Fees: Rs. 2.37 lakhs

5.     Indian Institute of Technology (IIT) Kharagpur – Fees: Rs. 2.21 lakhs

6.     Indian Institute of Technology (IIT) Roorkee – Fees: Rs. 1.69 lakhs

7.     Birla Institute of Technology and Science (BITS), Pilani – Fees: Rs. 4.23 lakhs

8.     National Institute of Technology (NIT) Trichy – Fees: Rs. 92,500

9.     International Institute of Information Technology (IIIT) Hyderabad – Fees: Rs. 3.72 lakhs

10.  Vellore Institute of Technology (VIT) – Fees: Rs. 1.98 lakhs

Please note that the fees mentioned above are subject to change and may vary depending on the institution’s policies and procedures. It is recommended that interested candidates check the specific fee structure of the institution they wish to apply to for an M.Tech in Computer and Data Science program.

M.Tech in Computer and Data Science Top Colleges in Bangalore

Here are some top colleges in Bangalore offering M.Tech in Computer and Data Science along with their approximate fees per annum:

1.     Indian Institute of Science (IISc) Bangalore – Rs. 52,050

2.     International Institute of Information Technology Bangalore (IIITB) – Rs. 4,00,000

3.     PES University – Rs. 1,60,000

4.     R. V. College of Engineering – Rs. 95,340

5.     BMS College of Engineering – Rs. 62,500

6.     CMR University – Rs. 1,25,000

7.     Christ University – Rs. 1,60,000

8.     M. S. Ramaiah University of Applied Sciences – Rs. 1,00,000

9.     Presidency University – Rs. 1,70,000

10.  Jain University – Rs. 1,30,000

It is important to note that the fee structure may vary depending on factors such as the institution’s policies, scholarships, and financial aid opportunities. It is recommended that interested candidates check the specific fee structure of the institution they wish to apply to for an M.Tech in Computer and Data Science program.

M.Tech in Computer and Data Science Top Colleges in Delhi

Here are some of the top colleges in Delhi that offer M.Tech in Computer and Data Science, along with their approximate fees per annum:

1.     Indian Institute of Technology (IIT) Delhi – Fees: Rs. 2,25,000/-

2.     Delhi Technological University (DTU) – Fees: Rs. 1,38,000/-

3.     Netaji Subhas University of Technology (NSUT) – Fees: Rs. 1,32,000/-

4.     Indraprastha Institute of Information Technology (IIIT) Delhi – Fees: Rs. 2,00,000/-

5.     Guru Gobind Singh Indraprastha University (GGSIPU) – Fees: Rs. 1,00,000/-

It is important to note that the fees mentioned above are approximate and may vary depending on the institution’s policies and procedures. Additionally, some institutions may also offer scholarships and financial aid to eligible candidates, which can help offset the cost of the program. Interested candidates are advised to check the specific fee structure and available financial aid options of the institution they wish to apply to for an M.Tech in Computer and Data Science program.

M.Tech in Computer and Data Science Jobs

M.Tech in Computer and Data Science is a highly specialized program that prepares students for various careers in the field of computer science and data analytics. Graduates of M.Tech in Computer and Data Science program can find employment opportunities in a wide range of industries, including but not limited to:

Information Technology: M.Tech in Computer and Data Science graduates can work as software engineers, developers, data analysts, data architects, and database administrators in IT companies.

Research and Development: Graduates can work in research and development labs, where they can work on cutting-edge technologies, such as Artificial Intelligence, Machine Learning, and Data Science.

Banking and Finance: Graduates can work as data analysts, quantitative analysts, or financial analysts in banks, financial institutions, and investment companies.

Healthcare: M.Tech in Computer and Data Science graduates can work in healthcare companies, where they can develop and implement data-driven solutions to improve patient care and outcomes.

E-commerce: Graduates can work in e-commerce companies as data analysts, data scientists, and machine learning engineers to develop personalized and targeted marketing campaigns.

Education: Graduates can work as professors, lecturers, or researchers in academic institutions, where they can teach or conduct research in the field of computer science and data analytics.

The scope of M.Tech in Computer and Data Science is vast and varied, with a high demand for skilled professionals in the industry. Career options and job opportunities are constantly evolving as technology advances and new industries emerge, making it an exciting and dynamic field to work in.

M.Tech in Computer and Data Science Salary

The salary of an M.Tech graduate in Computer and Data Science can vary depending on several factors such as job profile, organization, industry, experience, and location. Here are some estimated salary ranges based on various job profiles:

  • Data Analyst – The average salary of a data analyst with an M.Tech degree in Computer and Data Science can range from INR 4 LPA to INR 10 LPA.
  • Data Scientist – The average salary of a data scientist with an M.Tech degree in Computer and Data Science can range from INR 6 LPA to INR 25 LPA.
  • Software Engineer – The average salary of a software engineer with an M.Tech degree in Computer and Data Science can range from INR 4 LPA to INR 15 LPA.
  • Database Administrator – The average salary of a database administrator with an M.Tech degree in Computer and Data Science can range from INR 6 LPA to INR 20 LPA.
  • Machine Learning Engineer – The average salary of a machine learning engineer with an M.Tech degree in Computer and Data Science can range from INR 6 LPA to INR 25 LPA.

It is important to note that these salary ranges are approximate and can vary depending on several factors mentioned earlier. Additionally, salaries can also vary based on the location of the job, with higher salaries being offered in metropolitan cities.

M.Tech in Computer and Data Science Conclusion

In conclusion, M.Tech in Computer and Data Science is a highly specialized program that prepares students for a wide range of careers in the field of computer science and data analytics. M.Tech in Computer and Data Science program provides students with a deep understanding of computer systems, algorithms, data structures, and data analytics techniques. Graduates of M.Tech in Computer and Data Science program can find employment opportunities in industries such as IT, healthcare, banking and finance, e-commerce, and education. The scope of M.Tech in Computer and Data Science is vast and varied, with a high demand for skilled professionals in the industry. The career options and job opportunities are constantly evolving, making it an exciting and dynamic field to work in. Pursuing an M.Tech in Computer and Data Science can open up numerous career opportunities and provide a fulfilling and rewarding career path for individuals interested in technology and data analytics.

Frequently Asked Questions about M.Tech in Computer and Data Science

Q. What is M.Tech in Computer and Data Science?

Ans. M.Tech in Computer and Data Science is a postgraduate program that focuses on the advanced study of computer science and data analytics. It provides students with the necessary skills and knowledge to design and develop algorithms and software solutions to manage and analyze large amounts of data.

Q. What are the eligibility criteria for M.Tech in Computer and Data Science?

Ans. The eligibility criteria for M.Tech in Computer and Data Science vary depending on the institute, but generally, candidates must have a B.Tech or BE degree in Computer Science or a related field with a minimum aggregate of 50% marks.

Q. What are the career opportunities after M.Tech in Computer and Data Science?

Ans. M.Tech in Computer and Data Science graduates can find employment opportunities in industries such as IT, healthcare, banking and finance, e-commerce, and education. They can work as software engineers, data analysts, data scientists, machine learning engineers, and database administrators.

Q. What is the duration of the M.Tech in Computer and Data Science program?

Ans. The duration of the M.Tech in Computer and Data Science program is typically two years, divided into four semesters.

Q. What is the admission process for M.Tech in Computer and Data Science?

Ans. The admission process for M.Tech in Computer and Data Science typically involves an entrance exam followed by a counseling session. Some institutes also conduct personal interviews as part of the admission process.

Q. What is the average salary of an M.Tech in Computer and Data Science graduate?

Ans. The average salary of an M.Tech in Computer and Data Science graduate can range from INR 4 LPA to INR 25 LPA depending on the job profile, organization, industry, experience, and location.

Q. What are the skills required for M.Tech in Computer and Data Science?

Ans. The skills required for M.Tech in Computer and Data Science include programming skills, data analysis and management, knowledge of machine learning and artificial intelligence, critical thinking and problem-solving, and strong communication skills.


Testimonials