• KLEEE, KLMAT, KLECET, KLHAT, KLSAT - 2026 Phase 3 Exam Dates : 28th to 31st March 2026
  • Last Date of Application Submission - 27th March 2026
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  • Merit/Special Scholarships Available
45

Years of Legacy

100+

Acre Green Campus

4

Campuses

35K+

Students on Campus

350+

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Program Overview

What is M Tech AI and Data Science course?

The M Tech in Artificial Intelligence and Data Science at KL Deemed-to-be University is a postgraduate engineering program designed to prepare students for advanced careers in intelligent computing, machine learning, data analytics, and AI-driven innovation. This specialized program combines advanced computer science concepts with modern artificial intelligence technologies and data science methodologies to help students solve complex real-world problems using data-driven intelligence.

The 2-year M Tech AI and Data Science program focuses on building expertise in areas such as machine learning, deep learning, predictive analytics, big data processing, intelligent automation, cloud-based AI systems, and research-oriented problem solving. Students gain both theoretical knowledge and practical exposure through advanced labs, research projects, industry collaborations, internships, and innovation-focused learning.

As organizations across industries increasingly depend on data-driven decision-making and intelligent systems, professionals with expertise in AI and data science are in high demand across sectors such as healthcare, finance, cybersecurity, manufacturing, e-commerce, telecommunications, and smart technologies.

The curriculum integrates modern technologies and industry-oriented learning in:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Big Data Analytics
  • Data Engineering
  • AI Model Deployment
  • Cloud and Edge AI
  • Predictive Analytics
  • Generative AI Applications

The M Tech in Data Science and Artificial Intelligence program at KL University also encourages research, innovation, and interdisciplinary learning, helping students prepare for leadership roles in industry, higher education, and emerging technology ecosystems.

Program Structure

What is the M Tech AI and Data Science course curriculum at KL University?

Program Benefits

What are the benefits of M Tech in Artificial Intelligence and Data Science?

KL University offers a strong academic and research ecosystem that helps students become advanced AI and data science professionals

1. Industry-Aligned Advanced Curriculum

The curriculum is designed with inputs from industry experts, researchers, and academic leaders to align with current AI and analytics industry requirements.

2. Advanced AI Research and Innovation Exposure

Students gain access to modern AI laboratories, high-performance computing systems, and advanced research facilities.

3. Hands-On Learning Through Real Projects

The program emphasizes practical learning through:

  • Industry Projects
  • AI Research Assignments
  • Case Studies
  • Hackathons
  • Innovation Challenges
  • Live Data Analysis Projects
4. Expertise in Emerging AI Technologies

Students gain exposure to:

  • Deep Learning
  • Generative AI
  • NLP
  • Computer Vision
  • Predictive Analytics
  • Intelligent Automation
  • Cloud AI Systems
5. Research and Publication Opportunities

Students interested in higher education and research can work on publications, patents, and advanced research projects under faculty guidance.

6. Strong Placement and Career Support

KL University provides structured placement assistance, technical training, mock interviews, and industry interaction to enhance employability.

7. Interdisciplinary Learning Environment

Students collaborate across multiple domains including engineering, business analytics, healthcare technology, cybersecurity, and intelligent systems.

8. Global Career and Higher Education Pathways

The program prepares students for global technology careers, doctoral research opportunities, and advanced industry certifications.

Eligibility & Admission Criteria

What are the requirements for admission to M Tech AI and DS?

Candidates seeking admission into the M Tech Artificial Intelligence and Data Science program must satisfy the following eligibility requirements:

  • Applicants should possess a Bachelor’s degree in Engineering or Technology from a recognized university.
  • Candidates from disciplines such as Computer Science Engineering, Information Technology, Artificial Intelligence, Electronics, Data Science, or related branches are generally eligible.
  • A minimum qualifying percentage or CGPA as prescribed by the university is required.
Entrance Examinations Accepted :

Admission may be based on:

  • GATE Score.
  • AP PGECET
  • TS PGECET
  • KL University Entrance Process
  • Other recognized postgraduate engineering entrance examinations

Students are advised to check the latest admission guidelines during the application process.

Fee Structure

What is the fee structure for M Tech Data Science and AI?

The fee structure for the M Tech AI and Data Science program at KL University is designed to support advanced laboratories, research infrastructure, industry exposure, and innovation-driven learning.

Campus Duration Admission Fee Semester Fee Total 1st Semester
Vijayawada 2 Years ₹16,000 ₹80,000 ₹96,000

Note : The fee structure provided is based on the 2025–26 academic year and is subject to change for the 2026–27 academic year.

Are hostel and other charges included?

No. Hostel, mess, exam, and other charges are separate. You can contact the admissions office for exact details.

Are scholarships available for M Tech students?

Yes. KL University offers merit-based scholarships based on:

  • GATE/PGECET performance
  • Academic performance in qualifying degree
  • Merit and category-based criteria

Eligible students can apply for scholarships during the admission process.

Career Scope & Opportunities

What are the job roles after M Tech AI and DS?

The demand for professionals with expertise in artificial intelligence and advanced data analytics continues to grow across industries worldwide.

Career Opportunities After M Tech AI and Data Science

Graduates can pursue roles such as:

  • Data Scientist
  • Machine Learning Engineer
  • AI Research Engineer
  • Deep Learning Specialist
  • Data Engineer
  • Business Intelligence Analyst
  • AI Solutions Architect
  • NLP Engineer
  • Computer Vision Engineer
  • AI Product Analyst
  • Predictive Analytics Consultant
  • Big Data Engineer
Industries Hiring AI and Data Science Professionals

Students can explore opportunities in:

  • IT and Software Services
  • Healthcare Analytics
  • Financial Technology (FinTech)
  • E-Commerce Platforms
  • Telecommunications
  • Manufacturing and Automation
  • Cloud Computing Companies
  • AI Research Organizations
  • Cybersecurity Firms

Graduates can also pursue doctoral research, advanced certifications, entrepreneurship opportunities, or research-oriented careers in AI and intelligent systems.

KL University’s strong placement ecosystem, industry partnerships, and project-based learning help students build successful careers in emerging technology sectors.

Frequently Asked Questions (FAQs)

This program specifically focuses on Artificial Intelligence and Data Science with advanced specialization in machine learning, deep learning, big data analytics, intelligent systems, and AI-driven applications. Unlike a general M.Tech in CSE, it offers deeper exposure to modern AI technologies, industry tools, and data-centric problem solving.

The program is designed with strong industry relevance through practical labs, real-world case studies, internships, industry projects, and exposure to current AI technologies and tools used by leading organizations.

Yes. Students work on real-time projects involving machine learning models, predictive analytics, intelligent automation, computer vision, natural language processing, and data-driven applications.

Yes. The program provides strong research exposure through research projects, publications, innovation activities, and advanced AI research opportunities, making it suitable for students interested in higher studies or PhD programs.

Graduates can explore opportunities in leading IT companies, AI startups, research organizations, analytics firms, fintech companies, healthcare technology companies, consulting firms, and multinational corporations focusing on AI and data-driven solutions.

Yes. Merit-based scholarships are available based on entrance examination scores and academic performance.

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