M.Tech Programmes
The SRM University-AP offers M.Tech programmes in Artificial Intelligence and Machine Learning, Data Science and Cyber Security. The curriculum is designed keeping in view the need of the industry. The students after completing the M.Tech Programme can choose the industry to work or choose the high-quality technical Institutes of international repute to pursue a Ph.D The courses of this programme are taught by highly qualified faculty with overseas exposure to teaching and research.
M.Tech in Data Science
The two-year programme offered by the Department of Computer Science and Engineering helps students apply their knowledge of computing to Big Data. Through the course of their programmes, they are encouraged to employ their understanding of computing tools and techniques to solve real-world business problems.
They get insights into areas ranging from Data Acquisition to Analysis and Algorithm Design to transform into sought-after professionals and leaders in the field of Data Science.
Duration
- 2 Years (4 Semesters)
Specialisations Offered
Big Data Analytics
Artificial Intelligence
Data Engineering
Data Visualization
Cloud Computing and Data Storage
Data warehousing
Data mining
Programme Educational Objectives (PEO)
Produce the most employable graduates who are problem solvers, team players and lifelong learners with exceptional analytical & effective communication skills, leadership abilities and ethical values with significant opportunities in various domains and sectors both nationally and internationally.
Develop proficiency in advanced data analysis, mathematics, and statistical inference of the data to create solutions for various problems in the data analytical industry for a better society.
Emerge strong data science researchers using world-class research facilities focusing on interdisciplinary and multidisciplinary research and learning.
Programme Specific Outcomes (PSO)
Develop efficient and effective mathematical and statistical models and applications in the field of Data Science.
Design and develop advanced techniques and algorithms in Data Sciences to analyse data and solve real-world problems.
Conduct exceptional research in the emerging areas of Data Science to develop solutions and acquire skills in the field of data mining, prediction of data based on AI, Computer Networks, Signal & Image Processing.
Programme Outcomes (PO)
Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to the solution of complex engineering problems.
Design/Development
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety and cultural, societal, and environmental considerations.
Conduct Investigations of Complex Problems
Use research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions for complex problems.
Modern Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
The Engineer and Society
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
Environment and Sustainability
Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
Individual and Teamwork
Function effectively as an individual and as a member or leader in teams and in multidisciplinary settings.
Communication
Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports and documentation. Make effective presentations and give and receive clear instructions.
Life-Long Learning
Recognise the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Eligibility
A basic degree or equivalent in the following with a minimum aggregate of 60% BE / BTech in CSE / IT / SWE (or) MSc (CSE / IT) (or) MCA with GATE.
Selection Procedure
GATE-qualified candidates are admitted without any test and interview. The Non-GATE candidates will be called for a written test and/or interview. A candidate who has successfully cleared the entrance test shall be considered eligible for an interview.
Duration of the Programme
2 Years
Criterion for Successful Completion of the Programme
The candidate has to earn the total number of credits required to complete the programme. The total number of credits is fixed as per the regulations of the MTech Programme of the University.
