DETAILS

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Duration of Program 2 years (4 Semesters)

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Seats 10

M.Tech by Research facilitates industry fellows and upcoming research scholars with specific knowledge of the problem to be investigated in a way to draft novel and efficient solutions that have both scientific and industrial viability. This program aims at strengthening the students' core knowledge and greater potential to contribute to core research in the field of science and technology.

ACADEMIC FRAMEWORK

The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.

The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.

SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.

  • System Development,

  • Data Organisation,

  • Application Design and Development,

  • Implementation of Software Devices and Information Systems,

  • Networking and Hardware Engineering.

 

  • Complete the program without quitting your Job
  • Great Career post completion – opportunity in entry and mid-level IT & product development companies, Research & Consulting, teaching assignments
  • Degree from one of best-known University for IT and Technology-specific programs
  • Research led high quality program delivery that makes you an exceptional professional
  • Working Executives in IT or Product companies with programming, product or project management roles
  • Those who want to build career in IT & Product Research Oriented profession
  • Aspiring for Consulting assignment in IT, Consulting firms and equity investors
  • Teaching assignments with top IT companies in L&D department or prestigious institutions
  • All successful students will be part of the placement drive along with our full-time students
  • Students may be called to campus to participate in placement drives
  • We may provide lateral placement support to working executives who cannot travel to campus for placement drive
Application Screening and Interview
  • Scholarship for candidates sponsored by corporates
  • Financial Aid / EMI Plan available from Finance-Peer
Artificial Intelligence and Machine Learning

In this specialisation, students learn about essential concepts such as data structres, algorithms, OOPS concepts using Java, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing relevant real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data, models, algorithms, and empirics.

Career prospects:

  • AI/ML Analyst-Machine Learning Engineer
  • Software Developer or Python Developer-Machine Learning/NLP
  • Speech Scientist-Artificial Intelligence/Machine Learning
  • Image processing Engineer-Artificial Intelligence/Machine Learning
  • Researcher-Machine Learning

 

Banking, Financial Services and Insurance 

Students pursuing Banking, Financial Services and Insurance learn about essential computer Science concepts such as algorithm, data structures, OOPS concepts with java and advanced Java, with databases and software engineering design processes. This core competency is catered to students and concepts of Data Science and Informatics are demystifying along with core competencies at appropriate positions. 

Career Prospects

  • BFSI Solutions Architect / Tech Consultant
  • BFSI Business / Technical Analyst
  • BFSI Application Implementation/Customization Consultant
  • BFSI planning and expansion specialist

 

Internet of Things

 Internet of Things will generate a large amount of data daily. The reciprocity of such huge amount of data in the form of text or image or audio can be beneficial for both Big Data Analytics and IoT systems. This makes IoT useful for companies that rely on data analytics to improve their systems. Students looking for a long-term career in this field will find abundance of jobs when they complete their course.

Career Prospects

  • Application Architecture
  • Solutions provisioning expert
  • Database design architect
  • Database performance tuning associate

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