ASBM

Master of Science (AI and Decision Science)

Master of Science (AI and Decision Science)

Collabration

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Program Key Stats

2021

Admission Session

Bachelor’s Degree in CS/ITM/IT/BCA/ or B.Tech. in CS/IT/Electronics

Eligibility criteria

2 Years

Duration

₹ 150000

Fees

Program
Overview

Artificial Intelligence and the suite of tools that promote machine learning and deep learning technologies in an intricately connected world have pervaded human pursuits, ranging from, healthcare, manufacturing, defense, automobile, and banking; to retail stores, marketing, education, and policymaking. The future leaders of the industry, government, and the corporate world will increasingly be using robots, chatbots, IoT, and real-time heterogeneous data, both from crowdsourcing to organized databases to create and simulate models and build scenarios for impactful decision making.

In this context, future scientists and professionals will need to be conversant with artificial intelligence and decision-making tools and analytics to be able to survive and sustain a purposeful growth trajectory for their enterprises and organisations.

ASBM University has taken the first-mover initiative to create a futuristically inclined M.Sc. program on Artificial Intelligence (AI) and Decision Science, which is designed to be delivered using experiential learning through project-driven modules with instructor-led sessions, lab work, backed by practicum exercises.

The broad objectives of the M.Sc. (Artificial Intelligence and Decision Science program) are to foster design and algorithmic thinking and equip the learners with tools of artificial intelligence and decision science to address the organizational and scientific challenges in a highly interconnected digital landscape and VUCA environment. The program will focus on scientific and business applications that include machine and deep learning, predictive analytics, simulation and modeling, scenario generation, and sensitivity analysis.

Why Master of Science
(AI and Decision Science)

  • Designed on CBCS pattern
  • Practice-driven experiential learning
  • Emphasis on building thinking and analytical skills and solving real-life projects
  • Experienced faculty from industry, profession and academics
  • Continuous evaluation system
  • Separate hostel facilities for boys and girls

Course Curriculum

A student will undergo a minimum of 80 credits of course work during the two-year programme. The courses have been classified into credits. A course carrying 100 marks shall be equivalent to 4 credits and the course carrying 50 marks shall be equivalent to 2 credits.

The curriculum consists of 80 credits where Core Discipline courses are of 48 credits, Generic Electives are of 12 credits, Discipline Specific Electives (DSE) are of 12 credits and project is of 8 credits.

Semester - I

  • Foundations of Artificial Intelligence
  • Business Intelligence and Strategy
  • Statistical Decision Making and Techniques
  • Introduction to R (With Lab)
  • Introduction to Python Programming (With Lab)

Semester – II

  • Neural Networks and Deep Learning
  • Machine Learning and Data Mining
  • Intelligent Systems
  • Cloud Computing
  • Java Programming for Ai (With Lab)
  • Introduction to Tensorflow (With Lab)

Semester – III

  • Predictive Analytics
  • Research Methods
  • Data Analysis and Visualization (With Lab)
  • Choose Any One
  • Natural Language Processing
  • Human-computer Interaction

Semester – IV

  • Ethics in Artificial Intelligence
  • Comprehensive Project Work
  • Choose Any One
  • Decision Support Systems
  • Cyber Security

Let us help you to make the right career decision

FOR WHOM

  • Bachelor’s degree or equivalent in Computer Science/ITM/IT/BCA/ B. Tech. in Computer Science/IT/Electronics from any recognized University.
  • Final year students can also apply.

ELIGIBILITY

  • With minimum 50% marks in aggregate (45% for reserved category)

Faculty

Dr. Apurva Sahay

Assistant Professor

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Dr. Barada P Mohapatra

Assistant Professor

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Dr. Bhagaban Jayasingh

Professor & Dean

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Dr. Bhakta Bandhu Dash

Sr. Assistant Professor

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Dr. Biswajeet Pattanayak

President & Professor

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Dr. Haradhan Das

Professor

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Dr. Jhum Swain

Assistant Professor

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Dr. Jyoti Ranjan Mohanty

Professor

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Dr. Kalyan Shankar Ray

Professor

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Dr. Kaushik Nagadev Bhuyan

Assistant Professor

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Dr. Manmath Nath Samantaray

Associate Professor

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Dr. Padmanava Mohapatra

Sr. Assistant Professor

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Dr. Phalgu Niranjana

Professor

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Dr. Rupsa Mahapatra

Assistant Professor

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Dr. Sachidanand Sogala

Adjunct Professor

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Dr. Shekhar Murthy

Professor

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Dr. Smaraki Pattanayak

Assistant Professor

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Dr. Sunil Kumar Das Bendi

Assistant Professor

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Dr. Susanta Kumar Kanungo

Adjunct Faculty

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Dr. Thomas Mathew

Professor Emeritus

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Prof. Avijit Mondal

Assistant Professor

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Prof. Pratap Kumar Pati

Assistant Professor

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Prof. Saroj Kumar Bishey

Assistant Professor

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Prof. Swasti Suvasweta Satpathy

Assistant Professor

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