In 2024, AI and ML start-ups received a remarkable $10 billion in
venture capital investment, marking a substantial increase from prior years.
How do you help decide what is best for your child? We are here to guide you!
Advanced Technical Skills
MVJCE’s M.Tech in AI, DS equips students with cutting-edge expertise in data processing, analysis, and visualisation, ensuring proficiency in real-world applications.
Interdisciplinary Learning
The curriculum merges Computer Science with mathematical foundations, AI techniques, and ML principles, covering topics like Big Data Analytics, Deep Learning, and Computer Vision, fostering a holistic understanding of AI and DS.
Versatile Skill Set
From MIS Reporting Analytics to Predictive Modelling, students develop a wide range of skills, including Data Visualisation, Statistical Analysis, and Text Mining, preparing them for diverse roles in the industry.
Research Orientation
Courses like Modelling & Simulation and Image Analytics encourage research-oriented projects, enabling students to explore emerging technologies and contribute to advancements in AI and DS.
Holistic Approach
With a blend of basic and advanced courses, students have the flexibility to tailor their learning journey. The program encourages both foundational understanding and exploration of cutting-edge technologies, ensuring a comprehensive skill set.
The surge in Data Science demand, projected to create 11.5 million job openings by 2026, promises lucrative career opportunities for Postgraduate professionals in Artificial Intelligence and Data Science. With MVJCE’s active Placement Cell, alumni network, and industry partnerships, graduates secure roles across diverse sectors. Moreover, pursuing doctoral programs or engaging in research offers pathways to higher management positions, supported by MVJCE’s research-centric environment.
Interdisciplinary Curriculum:
MVJCE’s MTech program blends Computer Science with math, AI, ML, and data science, covering Big Data Analytics, Deep Learning, and Pattern Recognition. Graduates master AI and ML systems design and apply tools for data projects, statistical analysis, and machine learning challenges.
Skill Development:
The curriculum hones skills in MIS Reporting Analytics, Data Visualisation, R Programming, and Predictive Modelling. It fosters expertise in supervised and unsupervised machine learning, text mining, NLP, and Python for data analysis. Students benefit from basic and advanced courses, including foundational AI and DS topics, and research-oriented studies in emerging technologies.
Students should have a Bachelor’s degree in Engineering or Technology in Computer Science & Engineering / Information Science & Engineering / Electronics & Communication Engineering / Electrical & Electronics Engineering / Telecommunication Engineering / Electronics & Telecommunication Engineering / Electronics & Instrumentation Engineering / Artificial Intelligence & Data Science / Artificial Intelligence & Machine Learning / Computer & Communication Engineering / Computer Science & Business System / Computer Science & Design / Computer Science & Engineering (IoT) / CSE(Artificial Intelligence & Machine Learning) / CSE(Artificial Intelligence) / CSE(Cyber Security) / CSE(Data Science) / CSE(IoT & Cyber Security including Block Chain Technology) / Data Science / Computer Science / Computer Science & Technology / Information Technology (or equivalent degree such as AMIE in the appropriate branch), with a minimum aggregate of 50%. Management admission with a minimum aggregate of 60%.
Qualifying Entrance Test (Either option):
Transform your mind, your life and the world around you at MVJ. Get in touch, schedule a visit or start your admission process today.
MVJ College of Engineering, Near ITPB, Whitefield, Bangalore-560 067
