M Tech – Software Engineering, Data Science, Cyber Security

M.Tech CSE with Specialization in Artificial Intelligence & Machine Learning.

Course Overview: This two-year postgraduate program is designed to provide advanced knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML), combining theoretical foundations with hands-on applications. The curriculum covers deep learning, natural language processing, computer vision, neural networks, and AI-driven decision-making. Students will work on real-world problems, research innovations, and develop intelligent systems that drive automation and efficiency across various industries, including healthcare, finance, robotics, and cybersecurity.

 

Course Information

• Eligibility:  Candidates must have a strong academic background with a Bachelor’s degree in B.Tech, MCA, or M.Sc. (IT) from a recognized university. A minimum qualifying percentage, as per AICTE, is required. Applicants with a solid foundation in computing, programming, and analytical skills will be given preference. Additionally, candidates may need to clear national or university-level entrance examinations as per institutional norms.

 

• Career Prospects:  Graduates of this program can pursue roles such as AI/ML engineers, data scientists, deep learning specialists, research scientists, AI solution architects, and robotics engineers. These professionals develop intelligent algorithms, optimize machine learning models, and build AI-powered applications for industries such as healthcare, finance, autonomous systems, and smart technology, contributing to advancements in automation, predictive analytics, and decision intelligence.

 

M.Tech CSE with Specialization in Cybersecurity

Course Overview: This two-year postgraduate program focuses on advanced concepts and techniques in cybersecurity, equipping students with expertise in network security, cryptography, ethical hacking, digital forensics, and threat intelligence. The curriculum blends theoretical knowledge with practical applications, enabling students to design robust security solutions, protect critical infrastructures, and mitigate cyber threats. Graduates will be prepared to address complex security challenges in industries such as finance, healthcare, government, and technology.

 

Course Information

• Eligibility:   Candidates must have a strong academic background with a Bachelor’s degree in B.Tech, MCA, or M.Sc. (IT) from a recognized university. A minimum qualifying percentage, as per AICTE, is required. Applicants with a solid foundation in computing, programming, and analytical skills will be given preference. Additionally, candidates may need to clear national or university-level entrance examinations as per institutional norms.

 

• Career Prospects:   Graduates can pursue roles such as cybersecurity analysts, ethical hackers, security architects, penetration testers, digital forensics experts, and compliance officers. These professionals safeguard digital assets, detect vulnerabilities, respond to cyber threats, and develop security frameworks to protect organizations from data breaches, cyberattacks, and evolving security risks.

 

M.Tech CSE with Specialization in Data Science

Course Overview: This two-year postgraduate program provides in-depth knowledge of data science, equipping students with expertise in big data analytics, machine learning, deep learning, statistical modeling, and data-driven decision-making. The curriculum integrates advanced computational techniques with real-world applications, enabling students to analyze complex datasets, extract meaningful insights, and develop predictive models. Graduates will be well-prepared for careers in industries such as finance, healthcare, retail, and technology, where data-driven innovation is transforming business strategies.

Course Information

 

• Eligibility: Candidates must have a strong academic background with a Bachelor’s degree in B.Tech, MCA, or M.Sc. (IT) from a recognized university. A minimum qualifying percentage, as per AICTE, is required. Applicants with a solid foundation in computing, programming, and analytical skills will be given preference. Additionally, candidates may need to clear national or university-level entrance examinations as per institutional norms.

 

• Career Prospects: Graduates will be equipped to take on roles such as data scientists, machine learning engineers, big data analysts, business intelligence developers, data engineers, and AI consultants. These professionals work on analyzing large-scale data, developing AI-driven models, optimizing business processes, and driving data-centric solutions across various domains, contributing to intelligent decision-making and automation.