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The Future of learning

Technology-enabled learning has made significant inroads in the past decade and the pace at which technology is changing, it will be right to assume that the future of learning is going to be tremendously different from what it is today. The recent pandemic has also further accelerated the mass acceptance of online mode of learning. In such a scenario, a SkillTech university model becomes the need of the hour.

Curriculum
Focus

The Programme will comprise a wide variety of core and elective courses. The prospective curriculum is as stated below. This may be revised to enhance the quality of teaching and learning in interest of the students.

Learning
Outcomes

The program provides students with
1. Building a strong career profile
2. International and domestic industry exposure
3. Range of career avenues to choose from
4. Industry focused curriculum
5. Hands-on experiential training

Employment
Opportunities

This program will give you the opportunity and flexibility to work across a broad range of industries and business functions that have embraced AI & ML for intelligent decision-making to redefine their future.

Program Highlights

Industry
based curriculum


Faculties from
core industries


Guidance from
industry mentors


Major-Minor
specialization


Interdisciplinary
certificate courses


Staggered
Internship process


Experiential
learning


Live Industry
projects


Program Edge

Multidisciplinary
Education:

Access to students, faculty and electives across 5 schools

Social-Impact
Driven:

Engage in community project to experience socially-responsible leadership

21st Century
Skill Enhancement:

Access to electives that focus on development of technology,soft and life skills

Research &
Innovation Driven:

Work with faculty and students across 10 centers of research excellence

BSc Curriculum

Year 1

This 4 year program enables learners to develop expertise in emerging areas of computer programming, business analytics, computational thinking and disruptive technologies. This program also transforms learners into leaders of the technology world.


SEMESTER 01


  • Calculus 1 - Infinity and Beyond
  • Introduction to Computer Science and Programming using Python - 1
  • Programming in R
  • Foundations of Probability and Statistics for Data Science - 1
  • Calculus 2 - Infinity and Beyond
  • The world of Data Science

SEMESTER 02


  • Calculus 3 - Infinity and Beyond
  • Introduction to Computer Science and Programming using Python - 2
  • Computational Thinking
  • Foundations of Probability and Statistics for Data Science - 2
  • Calculus 4 - Infinity and Beyond
  • Analytics for Business using Excel

This 4 year program enables learners to develop expertise in emerging areas of computer programming, business analytics, computational thinking and disruptive technologies. This program also transforms learners into leaders of the technology world.


SEMESTER 03


  • Linear Algebra Demystified
  • Statistics and Probability in Decision Modelling - 1
  • Data Structure
  • Introduction to Neuroscience - Humans to Humanoids
  • Art & Science of visualization
  • English for Business and Technical Communication

SEMESTER 04


  • Quantum Physics - Dance of the Atoms
  • Chemistry - Nature's Secret to Success
  • Statistics and Probability in Decision Modelling - 2
  • Contemporary Issues in Big Data
  • SQL Programming
  • Ethics in Al

The curriculum in Year III has a specialised approach of learning where each student is able to carve their niche by developing their areas of expertise to catapult into Industry 4.0.


SEMESTER 05


  • Optimization and Simulations
  • Methods and Algorithms in Machine Learning – 1
  • Research Methodology
  • Artificial Neural Network for Structured Data
  • Data Engineering Services on cloud
  • Disruptive Technologies 1

SEMESTER 06


  • Methods and Algorithms in Machine Learning - 2
  • Graph Theory
  • DevOps and MLOps
  • Introduction to Deep Neural Networks
  • Methods and Algorithms in Machine Learning - 3
  • Design Thinking for Data Scientists

The curriculum in Year I enables you to build your foundation through an interdisciplinary approach with skill building modules enabling you to pick up transferable industry oriented skills for Industry 4.0


SEMESTER 07


  • Natural Language Processing 1
  • Natural Language Processing 2
  • Project Work
  • Artificial Intelligence in Finance
  • Artificial Intelligence in Supply Chain
  • Surviving in the Consulting World
  • This semester will also include project work

SEMESTER 08


  • Computer Vision 1
  • Computer Vision 2
  • Internship
  • Artificial Intelligence in Retail
  • Artificial Intelligence in Healthcare
  • Disruptive Technologies 2
  • This semester will also include an internship

BSc (HONS)   Curriculum

This 4 year program enables learners to develop expertise in emerging areas of computer programming, business analytics, computational thinking and disruptive technologies. This program also transforms learners into leaders of the technology world.


SEMESTER 01


  • Calculus 1 - Infinity and Beyond
  • Introduction to Computer Science and Programming using Python - 1
  • Programming in R
  • Foundations of Probability and Statistics for Data Science - 1
  • Calculus 2 - Infinity and Beyond
  • The world of Data Science

SEMESTER 02


  • Calculus 3 - Infinity and Beyond
  • Introduction to Computer Science and Programming using Python - 2
  • Computational Thinking
  • Foundations of Probability and Statistics for Data Science - 2
  • Calculus 4 - Infinity and Beyond
  • Analytics for Business using Excel

This 4 year program enables learners to develop expertise in emerging areas of computer programming, business analytics, computational thinking and disruptive technologies. This program also transforms learners into leaders of the technology world.


SEMESTER 03


  • Linear Algebra Demystified
  • Statistics and Probability in Decision Modelling - 1
  • Data Structure
  • Introduction to Neuroscience - Humans to Humanoids
  • Art & Science of visualization
  • English for Business and Technical Communication

SEMESTER 04


  • Quantum Physics - Dance of the Atoms
  • Chemistry - Nature's Secret to Success
  • Statistics and Probability in Decision Modelling - 2
  • Contemporary Issues in Big Data
  • SQL Programming
  • Ethics in Al

The curriculum in Year III has a specialised approach of learning where each student is able to carve their niche by developing their areas of expertise to catapult into Industry 4.0.


SEMESTER 05


  • Optimization and Simulations
  • Methods and Algorithms in Machine Learning – 1
  • Research Methodology
  • Artificial Neural Network for Structured Data
  • Data Engineering Services on cloud
  • Disruptive Technologies 1

SEMESTER 06


  • Methods and Algorithms in Machine Learning - 2
  • Graph Theory
  • DevOps and MLOps
  • Introduction to Deep Neural Networks
  • Methods and Algorithms in Machine Learning - 3
  • Design Thinking for Data Scientists

The curriculum in Year I enables you to build your foundation through an interdisciplinary approach with skill building modules enabling you to pick up transferable industry oriented skills for Industry 4.0


SEMESTER 07


  • Natural Language Processing 1
  • Natural Language Processing 2
  • Project Work
  • Artificial Intelligence in Finance
  • Artificial Intelligence in Supply Chain
  • Surviving in the Consulting World
  • This semester will also include project work

SEMESTER 08


  • Computer Vision 1
  • Computer Vision 2
  • Internship
  • Artificial Intelligence in Retail
  • Artificial Intelligence in Healthcare
  • Disruptive Technologies 2
  • This semester will also include an internship

WHY US

Multidisciplinary Choices

Education 4.0

Art of Problem Solving

Futuristic

Industry 4.0 Aligned

Modern Urban City Campus

Professional Conditioning

Cognitive & Creative Skills

Cross Functional Skills

Career Prospects

01

AI Scientist

02

Data Scientist

03

Machine
Learning
Engineer

04

Research Scientists

05

Business
Intelligence
Researcher

06

Robotics Scientist

07

AI Engineer

08

Data Analyst

09

AUTOMATION
ENGINEER

10

AI Consultant

11

Big Data Engineer

INTERNATIONAL
VISITING FACULTY

Student
Testimonial

Admission

Eligibility

For Undergraduation: Students who have appeared for 10+2 examination (A level, CBSE, HSC, IBDP, ISC etc) or its equivalent in any discipline (Eg Science, Commerce, Arts)


  • Students need to have completed Physics and Chemistry till 10th standard and Maths till 12th standard
Examination

Each student goes through a holistic multi criteria selection process including an Aptitude Test, Collaborative Assessment & Personal Interview Rounds. There are multiple levels of layering for assessment to identify students with a high potential.


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