COMPUTER SCIENCE & ENGINEERING
Innovative Features in the M.Tech CSE with emphasis on Digital Transformation Technologies Curriculum
- Will be powered by a project based learning methodology which enables the teacher and the group of students to mould the learning style dependent on the profile of the learners and create an environment to provide constructivism and collaborative learning.
- The ‘flipped-classroom’ model and a unique mastery learning platform integrated into the project based learning approach.
- Will be embedded with Full Stack Programming, Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence and Internet of Things (IOT) curriculum to make it more industry relevant.
- Industry experts will work as mentors, along with RGIT professors in guiding the students as per the specified methodology.
Specialisation
- Big Data/Data Sciences
- Cyber Security
- Mobile Technologies & Applications
- Cloud Computing
- Geographic Information Systems
Programme Outline
M.Tech in Computer Science with emphasis on Digital Transformation Technologies, is mainly focused on building a strong foundation in mathematical and algorithmic concepts. It has a strong industry linkage to make students industry-ready. It also includes sufficient depth of knowledge in Computer Science Engineering (CSE) for those interested in higher studies. M.Tech in Computer Science with emphasis on Digital Transformation Technologies at RGIT also offers adequate flexibility to students to pursue their own interests through electives and projects.
Application Processing Time in Days: 3
Application Process
ACCEPTANCE
3 Days
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
5200 USD
Annual Cost of Living: 2500 USD
Application Fee: N/A
This Institution is not directly represented by us and applications / visa support (to them) attract a nominal charge