Master of Science in Computer Science: Artificial Intelligence and Machine Learning

AlmaBetter Innovarsity

Tuition costs:

1,80,000 INR

Area:

Computer Science

Duration:

18 months

Language:

English

Mode:

Fully Online

Description:

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools, as well as soft skills in communication, collaboration, and project management that enable students to succeed in real-world business environments. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problems solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research level topics, which cover state of the art methods. The program also has a capstone project at the end, wherein students can either work on building end to end solutions to real world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud Computing, Software Engineering, or Data Science, etc.

Degree ILOs:

Degree structure

In total, Master of Science in Computer Science: Artificial Intelligence and Machine Learning is 2250 hours to complete; the programme is structured with tiers, which are described below.

Tier 1

375 required hours

Introduction to Computer Programming : Part 1

Introduction to Computer Programming : Part 1

125h

Relational Databases

Relational Databases

125h

Introduction to Problem-Solving Techniques: Part 1

Introduction to Problem-Solving Techniques: Part 1

125h


Tier 2

1125 required hours

Numerical Programming in Python

Numerical Programming in Python

125h

Applied Statistics

Applied Statistics

125h

Introduction to Machine Learning

Introduction to Machine Learning

125h

Advanced Machine Learning

Advanced Machine Learning

Introduction to Deep Learning

Introduction to Deep Learning

Deep Learning for Computer Vision

Deep Learning for Computer Vision

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

Productionization of ML Systems

Productionization of ML Systems

125h

Distributed Machine Learning

Distributed Machine Learning


Tier 3

750 required hours

Advanced Applied Computer Science

Advanced Applied Computer Science