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M. Tech. in Artificial Intelligence and Data Science

Overview

The Master of Technology in Artificial Intelligence and Data Science offers a specialized focus to empower students with advanced knowledge and skills crucial for success in the fields of AI and Data Science. The curriculum is meticulously designed to provide a comprehensive academic journey, going beyond theoretical concepts to ensure practical insights and hands-on experience in real-world scenarios.

The core courses lay a strong foundation, covering essential aspects such as the mathematical foundations of computer science, data structures, advanced algorithms, and software engineering methodologies. Complementing these are programme-specific electives in AI and Data Science, allowing students to tailor their academic experience based on their career goals. Additionally, open electives offer flexibility and a well-rounded educational experience.

Duration

Two Years / Four Semesters

Commence of the course


Course Duration

Two Years


Mode of Study

Eligibility


B.E. / B.Tech. with minimum 50% marks or equivalent in CGPA in Computer Science/Information Technology or MCA.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.


Key Features

Active engagement through interactive lectures.

Avenues for research-oriented projects on advancements in AI and Data Science.

Skill development in Apache Hadoop, Python / R programming, and Tableau / Power BI.

Internship integration for professional experience.

Professional networking in esteemed societies such as CSI, IEEE, and ACM.

Program Structure

Career Opportunities

A multitude of rewarding career paths with networking events, career counseling, and comprehensive support designed to prepare students for various career roles such as Artificial Intelligence Engineer, Data Science Consultant, Data scientists and AI Engineer, Data Scientist / Data Architect, Data Science Manager, Principal / Chief Data Scientist, Data Analyst, Data Warehouse Engineer, Business Intelligence Developer, Computer Vision Engineer, ML Specialist.

FAQ's

Yes, M. Tech. in AI & Data Science Program is designed to be industry-oriented, focusing heavily on practical skills, real-world hands-on projects, and tools like Python, R, & SQL, alongside core AI/ML concepts to bridge theory with industry demands for immediate career relevance. The pedagogy is research-oriented projects, internships, industry collaborations, and specialized labs. The curriculum is designed to integrate theoretical knowledge with real-world applications.

The M. Tech. in Artificial Intelligence and Data Science Program offered by the Alliance School of Computer Science and Engineering is a two-year, full-time postgraduate degree course spanning four semesters.

Alliance University's M. Tech. in AI & Data Science covers core CS fundamentals like Algorithms, Data Structures, and Math, and advanced topics like Machine Learning, Deep Learning, Big Data Analytics, NLP, Computer Vision, Statistical Modelling, and tools for real-world data challenges, with a focus on hands-on experience, labs, and industry projects.

After completing an M. Tech. in Artificial Intelligence (AI) and Data Science, a wide array of high-demand and high-paying career opportunities are available across numerous industries, including technology, finance, healthcare, and e-commerce. The core technical roles are Machine Learning (ML) Engineer, Data Scientist, AI Engineer, Big Data Engineer/Architect, and AI Research Scientist.

To be eligible for the M. Tech. in AI & Data Science Program, you need a B.E./B. Tech. (or MCA) in Computer Science/IT with at least 50% aggregate marks (45% for SC/ST), clearing all backlogs, and a valid score in entrance exams like Karnataka-PGCET or AUET, with the selection based on your overall profile, academics, and interview.

Yes, students in AI & Data Science Programs are exposed to research through dedicated project assignments, industry collaborations, and a focus on experiential learning, with avenues for hands-on exploration in areas like Machine Learning, Deep Learning, and Big Data Analytics, alongside internships and innovation labs.

AI and Data Science integrate with Cloud, IoT, and Big Data by leveraging each technology's strengths to create powerful, end-to-end data processing and intelligence systems. The integration can be viewed as a pipeline and ecosystem.

M. Tech. in AI & Data Science offers specialised electives like Deep Learning, Generative AI, NLP, Cloud Data Analytics, Computer Vision, Recommender Systems, Data Security, Cyber Security, plus value-added courses in Research Writing, Personality Dev, Stress Management, and career skills (communication, aptitude). We have a plethora of options offered through Coursera platform. The dedicated placement cell at Alliance University conducts workshops and webinars regularly to build strong knowledge and skill sets.

The global demand for AI and Data Science experts, particularly those with an M. Tech. degree, is exceptionally high and rapidly increasing. This surge is driven by the widespread adoption of AI and data-driven technologies across nearly every industry, creating a significant talent gap that advanced degree holders are well-positioned to fill. The demand translates into excellent career prospects and lucrative salaries across the world. Countries like the United States, United Kingdom, India, Canada, and Germany are major hubs for AI and data science talent, with significant job openings and competitive salaries.

Indeed. Alliance University's M. Tech. in AI and Data Science is highly suitable for careers in both generative AI and real-time analytics. The curriculum is designed to provide advanced, practical skills in cutting-edge AI fields and data processing, preparing graduates for a variety of in-demand roles.

M. Tech. in AI & Data Science offers internships, industry projects, and mentorship organised by the dedicated Career Advancement and Networking (CAN) department, focusing on real-world skills through hands-on work, placements with companies in IT, consulting, and other sectors, and a curriculum designed for practical industry application.

Candidates need to submit an online application. Post the screening of the applications, applicants must go through an online aptitude test followed by a personal interview round. For further details, you can refer to the Admissions Process Page.

Yes. Scholarships are available based on merit for M . Tech. in AI and Data Science. For more details, refer to the Scholarship section of the Admissions Process Page.

M. Tech. in AI & Data Science prepares students for AI Engineering/Data Architecture roles through a strong foundation in core CS, specialized AI/ML/Big Data modules (NLP, Deep Learning), hands-on projects with industry tools, real-world problem-solving, and skills in statistical modelling, enabling practical application for designing intelligent systems and analysing complex data for roles like Data Scientist, ML Engineer, and AI Specialist.

The Program fee for M. Tech. at Alliance University is Rs. 4 lakhs for a period of two years, payable in 2 instalments. Hostel fee shall be additional. For further details, refer to the Fee Structure section of the Admissions Process Page.

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