M. Tech (Computer Science and Engineering) - Artificial Intelligence
24 monthsProgramme duration
264,000 INRTuition Fee/year
21 Jan, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MTech
Study Level
Masters
Study Mode
On Campus
The UPES School of Computer Science offers a comprehensive M.Tech. program in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. Spanning two years, the curriculum is meticulously crafted to align with the dynamic needs of the industry. Merging academic expertise and industry insights, the program empowers students to excel in the realm of AI and ML.
From the onset of each semester, students delve into real-world applications of AI and ML, facilitated by a rigorous foundation in probability and applied statistics. This dual approach equips learners to comprehend both the theoretical underpinnings and practical dimensions of the technologies, fostering a holistic understanding. The program's strength lies in its immersive learning experiences, including two projects and an industry internship. By engaging in these hands-on projects, students hone their application-oriented skills and solidify their grasp of technological fundamentals. Furthermore, the industry internship serves as a gateway to multiple pre-placement offers, underscoring the program's industry-relevance and career-enhancing potential.
The pedagogical methodology takes a unique twist by involving students in faculty research endeavors. This synergy not only enriches the educational journey but also provides opportunities to contribute to projects of national and international significance. This distinctive feature intertwines academia and real-world impact, fostering a holistic development of students. In conclusion, the M.Tech. program in AI and ML at UPES School of Computer Science strikes a balance between theoretical knowledge and practical application. With a forward-looking curriculum, hands-on projects, industry exposure, and research involvement, the program nurtures adept professionals prepared to navigate the ever-evolving landscape of Artificial Intelligence and Machine Learning.
From the onset of each semester, students delve into real-world applications of AI and ML, facilitated by a rigorous foundation in probability and applied statistics. This dual approach equips learners to comprehend both the theoretical underpinnings and practical dimensions of the technologies, fostering a holistic understanding. The program's strength lies in its immersive learning experiences, including two projects and an industry internship. By engaging in these hands-on projects, students hone their application-oriented skills and solidify their grasp of technological fundamentals. Furthermore, the industry internship serves as a gateway to multiple pre-placement offers, underscoring the program's industry-relevance and career-enhancing potential.
The pedagogical methodology takes a unique twist by involving students in faculty research endeavors. This synergy not only enriches the educational journey but also provides opportunities to contribute to projects of national and international significance. This distinctive feature intertwines academia and real-world impact, fostering a holistic development of students. In conclusion, the M.Tech. program in AI and ML at UPES School of Computer Science strikes a balance between theoretical knowledge and practical application. With a forward-looking curriculum, hands-on projects, industry exposure, and research involvement, the program nurtures adept professionals prepared to navigate the ever-evolving landscape of Artificial Intelligence and Machine Learning.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MTech
Study Level
Masters
Study Mode
On Campus
The UPES School of Computer Science offers a comprehensive M.Tech. program in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. Spanning two years, the curriculum is meticulously crafted to align with the dynamic needs of the industry. Merging academic expertise and industry insights, the program empowers students to excel in the realm of AI and ML.
From the onset of each semester, students delve into real-world applications of AI and ML, facilitated by a rigorous foundation in probability and applied statistics. This dual approach equips learners to comprehend both the theoretical underpinnings and practical dimensions of the technologies, fostering a holistic understanding. The program's strength lies in its immersive learning experiences, including two projects and an industry internship. By engaging in these hands-on projects, students hone their application-oriented skills and solidify their grasp of technological fundamentals. Furthermore, the industry internship serves as a gateway to multiple pre-placement offers, underscoring the program's industry-relevance and career-enhancing potential.
The pedagogical methodology takes a unique twist by involving students in faculty research endeavors. This synergy not only enriches the educational journey but also provides opportunities to contribute to projects of national and international significance. This distinctive feature intertwines academia and real-world impact, fostering a holistic development of students. In conclusion, the M.Tech. program in AI and ML at UPES School of Computer Science strikes a balance between theoretical knowledge and practical application. With a forward-looking curriculum, hands-on projects, industry exposure, and research involvement, the program nurtures adept professionals prepared to navigate the ever-evolving landscape of Artificial Intelligence and Machine Learning.
From the onset of each semester, students delve into real-world applications of AI and ML, facilitated by a rigorous foundation in probability and applied statistics. This dual approach equips learners to comprehend both the theoretical underpinnings and practical dimensions of the technologies, fostering a holistic understanding. The program's strength lies in its immersive learning experiences, including two projects and an industry internship. By engaging in these hands-on projects, students hone their application-oriented skills and solidify their grasp of technological fundamentals. Furthermore, the industry internship serves as a gateway to multiple pre-placement offers, underscoring the program's industry-relevance and career-enhancing potential.
The pedagogical methodology takes a unique twist by involving students in faculty research endeavors. This synergy not only enriches the educational journey but also provides opportunities to contribute to projects of national and international significance. This distinctive feature intertwines academia and real-world impact, fostering a holistic development of students. In conclusion, the M.Tech. program in AI and ML at UPES School of Computer Science strikes a balance between theoretical knowledge and practical application. With a forward-looking curriculum, hands-on projects, industry exposure, and research involvement, the program nurtures adept professionals prepared to navigate the ever-evolving landscape of Artificial Intelligence and Machine Learning.
Admission Requirements
2.7+
- Minimum 60% marks in Class X and XII
- B. Tech/ BE (IT/(Hons.) Computer Science and Engineering), MCA, M.Sc. (Physics/Math’s/Statistics, with minimum 60% marks. Or Equivalent.
21 Jan 2025
2 Years
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
264,000 INR
International
264,000 INR
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