XIM University

XIM University


M. Tech in Artificial Intelligence

(Online Mode)

M. Tech in Artificial Intelligence (Online Mode)
Duration : 2 years

Fee: 1,25,000/- per year + GST


The idea of Data Science/AI revolves around data driven Decision Making. Today, large amounts of data both structured and unstructured data is regenerated by industry which includes data from social media, sensors, e-commerce, among others. AI technologies, including deep learning and machine learning, are developing rapidly across the world, and are being applied to new use cases, affecting everything from business strategy to product design to operations.
The demand for trained and market ready skill sets in this field of data sciences and AI is growing exponentially. It is a challenge to get trained resources in the market and It requires a specialised and dedicated training (as this cannot be met by traditional teaching and learning process in an organisation).

M. Tech AI course provides deep drive skills in the principles and technologies that underlie AI including Machine Learning, Deep learning, NLP, Computer vision. This course offers an opportunity to learn the techniques, terminology and mathematics of deep learning, Machine learning, AI.

Curriculum Overview

      • The comprehensive curriculum offers a perfect blend of skills in Machine learning, Deep learning and NLP learning along with the business knowledge and a strategic perspective on the AI industry.
      • The main course work comprises of Experimental Learning and Practical application of the theoretical concepts on the domain application approach on real time projects.
      • The amalgamation of course modules and Capstone Project offers practical learning to the participants. The course is updated to provide students hands-on learning of the Machine Learning programs, deep learning.

Course Outline

      •  Introduction to AI
      • Programming and Mathematics for Artificial Intelligence
      • Predictive modelling
      • Machine Learning
      • Deep Learning
      • Natural Language Processing (NLP)
      • Big Data Handling & Visualization
      • Introduction to Computer vision
      • Applications of AI
      • IoT
Key technology taught during the course​
Basic & Advanced Frameworks:
NumPy, Pandas, Matplotlib
Dashboarding & Open Machine learning frameworks
Jupyter, Plotly Dash & Streamlit
Web scraping
Beautiful Soup, scrapy and Requests
Machine Leaning framework
Intel DAAL, Scikit-learn are key essential tools to build a successful ML model.
NLP frameworks
iNLTK, spacy, AllenNLP, are key essential tools to build a successful NLP model.
Deep Learning & Computer Vision Frameworks
TensorFlow 2.0, PyTorch & Open-CV to build video, image analytics applications
Deployment Tools
Plotly Dash & Streamlit simple and powerful frameworks for productionize the code
OneAPI Intel Toolkit
Intel Distribution of Python: NumPy, TBB4.py, Intel MKL, OpenVino, Intel® VTune™ Profiler,

Objective & Learning Outcomes:

By the end of this program, the participants will be able to:

      • Learn how to apply Modern Artificial Intelligence on different business verticals
      • Understand underneath mechanics of computer vision (CV), Speech Analytics & Natural Language Processing (NLP)
      • Learn & Build Deep Neural Networks Family of Algorithms and apply on AI concepts
      • Use state-of-the-art Object Detection Models, Image Segmentation
      • Use Emotion detection, Topics Modelling, Large scale language models & Chat bot
      • Build Application on real time problem statements using AI concepts
      • Implement AI systems to solve industrial, Business and Social problems


      • The Internship is an important component of the programme. It offers participants an opportunity to apply their overall course learning to solve real-world business problems. Each participant group is mentored by an industry mentor, to integrate theoretical and practical aspects.

Programme benefits to participants

      • Learning from subject-matter experts
      • Cutting-edge thought leadership
      • Relevant case studies from the industry
      • Built-in project work and Capstone projects as a part of the curriculum


Experienced industry practitioners to interact with participants to share practical perspectives and insights into real business problems.


Industry Certification -> co-branded certificate

Eligibility for Admission

  1. The eligibility for admission to M. Tech. in Artificial Intelligence shall be B.E./B.Tech(Computer Science/ Information Technology/ Electrical/Electronics/Mechanical)/ M. Sc.(Computer Science/ Information Technology)/MCA (with Physics and Mathematics/ Statistics at B. Sc. Level) with 60% marks in aggregate or equivalent.

Admission Procedure

  1. Applicants are required to fill-up the application form at https://xubpg.fdsbase.com/. Upon successfully filling the online application form and paying the relevant application fee, the applicant will be intimated by email about the acceptance of the form.
  2. The eligible candidates will be shortlisted based on academic credentials and/or extracurriculars and/or Admission test. The shortlisted candidates will be invited for Personal Interview leading to the final unified selection.

Start of the Program

The program will begin by the first week of December 2020 for the first year students. At this time the students will be given a Manual of Policies and Regulations which will be binding on them.

Sl No. Electives at School of Government and Public Affairs:
Advanced Methods in Data Analysis
Public Policy Impact Analytics/Data Analytics for Public Policy
Corruption Transparency and Governance
Sustainability and Climate Change Politics
Citizenship and International Policy
Media and Government
Human Rights, International Community, and Global Relations
International Business and Government
Constitution, Law and Government
Democracy, Politics and Institutions
Public and Non-Profit Management
Problem Solving and Decision Making for Public Policy and Social Change
Business and Government Policy
Social and Urban Policy

M. Tech in Artificial Intelligence (Online Mode)


  1. Minimum Eligibility Criteria: Minimum three-year Bachelor's degree (or equivalent) in any discipline with at least 55% marks in aggregate from a recognized University. Candidates who expect to complete the final part of their degree examinations by June 15, 2021, can also apply.
  2. Recommended : Basic exposure to Economics/ Mathematics / Statistics / Engineering/Political Science/Social Sciences;
  3. Work Experience: Candidates with demonstrated leadership skills in previous work/assignments shall be preferred.


Applicants are required to fill up the online application form at: www.xub.edu.in. Upon successfully filling the online application form and paying the relevant application fee, the applicant will be intimated by email about the acceptance of the form.

Selection Process

The eligible candidates will have to appear for personal interview to be conducted by Xavier University, Bhubaneswar. The final selection will be based on the evaluation of Statement of Purpose, candidate's performance in the Personal Interview, and will take into account the past academic record and relevant work experience.


The program will begin by the first week of July 2021 for the first year students. At this time the students will be given a Manual of Policies and Regulations which will be binding on them.

Application Deadline

The last date to fill up the application form is May 31, 2021.

Online Application will open shortly…

All admission and program related queries may be addressed as follows:

Admission Related

Telephone: +91-674-2377 806 / 2377 878
Email: admission@xub.edu.in


Contact: 7894-218-494


Contact: 9040-531-125

Program related

Telephone: +91-674-2377 806 / 2377 878
Email: admission@xub.edu.in

Contact: 7377-271-111

To know more about Master in Public Policy & Governance program visit : https://sgpa.xub.edu.in/programs/masters-in-public-policy-and-governance/