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BSc in Artificial Intelligence and Machine Learning

Programme details sourced from TISS School of Skill Education and presented in a unified format for all Bachelor Programmes.

Sector

Information Technology Enabled Services

Eligibility

10+2 (Science & Maths) or equivalent in Information Technology stream with minimum 60%

Programme Fees

60,000/- Per Annum

Introduction of the Sector

In today’s digital era Information and Communication Technology have become one of the basic requirements of society. It is difficult to think of any event without the use of digital devices. ITeS sector includes IT services, engineering design, R & D services and BPO services. IT includes a wide variety of operations that uses information technology to improve the efficiency of any organization. ITeS services are delivered over telecom or data network to a range of external business areas. The changing economic and business conditions, rapid technological innovation, the proliferation of the internet and globalization are creating an increasingly competitive environment. The role of technology has evolved from supporting corporations and their transformation. All these factors have made IT-ITeS a competent vertical among others.

Programme Introduction

As per a report published by Gartner, Artificial Intelligence is expected to create a huge job market with around 2.3 million opportunities during 2020- 2021. This number gets bigger with each passing day as more and more companies are transforming themselves to harness the power of data lying with them. “Data is the new oil”; there is a deeper truth to this saying than being mere words. Data has been growing by leaps and bounds like never before. Most industries across the globe, adopted data analytics as one of their chief functions since the last decade. This has fueled the development of Artificial Intelligence (AI) and Machine Learning (ML) as chief disciplines. Data analysis has multifaceted functions; it has helped businesses attain key goals, decipher actionable insights, formulate critical decisions and generate innovative products and services. The course brings an overall platter of knowledge and skills, needed to hop on the ML and AI domains. With a diligently crafted course curriculum, students will gain a root-level understanding of concepts driving the ML algorithms. Successful completion of the courses will enable students to take on multiple job roles in the data analytics discipline.

Career Prospects / Job Role

  • Skills in ML can also lead to fresh graduates becoming junior data scientists. Graduates can take up the role of a Data Scientist in Deep Learning. Those interested in end-point security can have a career in Automation with ML, for example to recognize file malware threats and deal with them effectively. Many jobs are available as Scientist in Analytics and Machine Intelligence.

Knowledge Provider for Skill Training

  • Aarvi Technology, The Scorpio Human Resources, New Age Skill Consultancy, Raj Software Technology, Rajesh U. Chheda & Co., Physica Healthtech Private Limited, 366 Digitx, Androapps Technologies, Intelloger Software Pvt Ltd, Nextgen Techno Ventures Pvt Ltd

Semester-wise Listing of Courses

SEM I

Course CodeCourse NameCredits
GE 1.1Functional English2
GE 1.2Computing Skills and Digital Literacy2
AI 1.1Foundational course on Artificial Intelligence (AI) and Machine Learning (ML)2
AI 1.2Mathematics for Data Science2
AI 1.3Programming Concepts and Problem Solving using Python2
AI ST1Skill Training12
CDPNE*Domain PracticumNC

SEM II

Course CodeCourse NameCredits
GE 2.1Communication Skills2
GE 2.2Environmental Studies2
AI 2.1Fundamental Programming using R2
AI 2.2.Statistics for Data Science2
AI 2.3Machine Learning Methods using Python and Model Integration2
AI ST2Skill Training12
CDPNE*Domain PracticumNC

SEM III

Course CodeCourse NameCredits
GE 3.1Financial Literacy2
GE 3.2Basics of Legal and HR Policies2
AI 3.1Database Management Systems and Data Warehousing2
AI 3.2Programming for AI and ML using Python2
AI 3.3Advance Statistics for Data Science2
AI ST3Skill Training12
CDPNE*Domain PracticumNC

SEM IV

Course CodeCourse NameCredits
GE 4.1Design Thinking2
GE 4.2Organizational Behaviour2
AI 4.1Machine Learning Methods using Python2
AI 4.2Big Data and NoSQL2
AI 4.3Data Visualization and Story- telling with Tableau2
AI ST4Skill Training12
CDPNE*Domain PracticumNC

SEM V

Course CodeCourse NameCredits
GE 5.1Health and Wellness2
GE 5.2Health and Wellness2
AI 5.1Natural Language Processing with Machine Learning2
AI 5.2Artificial Intelligence and Robotics2
AI 5.3Generative AI and Prompt Engineering2
AI ST5Skill Training12
CDPNE*Domain PracticumNC

SEM VI

Course CodeCourse NameCredits
GE 6.1Entrepreneurship2
GE 6.2Employment Readiness2
AI 6.1Computer Vision using Artificial Intelligence2
AI 6.2MLOps2
AI 6.3Machine Learning for Business Domains (Finance, HR & Marketing Analytics)2
AI ST6Skill Training12
CDPNE*Domain PracticumNC
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