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M.Sc. IT (AI & ML) / Data Science & Cloud Computing


OPEN


2 years


Full-time

Entry Requirements
ANY Bachelor’s Degree (except BA) with minimum aggregate of 50%

Programme Highlights

A comprehensive educational pathway featuring triple majors in Biotechnology, Biochemistry, and Genetics.

  • Key courses: Data mining and KDD, Core Java, Bigdata Analytics, Research Methodology
  • Practical hands-on learning: Conversational AI, Data Visualization
  • Specialized tools taught: RPA, R programming, Python, Weka Tool, Chat GPT, Yellow AI, HADOOP, TensorFlow, PyTorch, Scikit-learn
  • Research-based learning encouraged with projects in collaboration with MIRLABS and ATINEU
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Course Structure

Semester 1

Course Title

  • Java programming
  • Advanced Database Management system
  • Artificial Intelligence
  • Research Methodology
  • Java programming(p)
  • Advanced Database management system(p)
  • Web Designing(p)

Semester 2

Course Title

  • Python Programming
  • Software Testing and Quality Assurance
  • Cloud Computing (P)
  • Python Programming (P)
  • Software Testing and Quality Assurance (P)
  • Applied Artificial Intelligence Machine Learning
  • Applied Artificial Intelligence (P)Applied Artificial Intelligence (P)
  • Machine Learning (P)

Semester 3

Course Title

  • R-Programming
  • Robotic Process Automation
  • Design Thinking
  • Deep Learning
  • R-Programming(P)
  • Deep Learning(P)
  • Conversational AI(Soft Core paper)

Semester 4

Course Title

  • Basics of Toxicology
  • Basics of Toxicology (P)
  • RDT and Food Engineering
  • RDT and Food Engineering (P)
  • Analytical Techniques and Instrumentation
  • Analytical Techniques and Instrumentation (P)
  • Bioinformatics (SEC)
  • Bioinformatics (SEC)

Semester 5

Course Title

  • Internship

Elective-I

  • Introduction to Data Science
  • Social Network Analysis
  • Deep learning & Natural Language Processing
  • Data Privacy and Data Security (CS)

Elective-II

  • Cryptography and Network Security(CS)
  • Micro-Controllers
  • Devops
  • Introduction to Robotics

Semester 6

Course Title

  • Plant Biotechnology
  • Plant Biotechnology (P)
  • Bioprocess Technology
  • Bioprocess Technology (P)
  • Enzymology
  • Enzymology (P)
  • Nutrition & Dietetics
  • Nutrition & Dietetics (P)
  • Behavioral Neurogenetics
  • Behavioral Neurogenetics (P)
  • Population Genetics & Biometry
  • Population Genetics & Biometry (P)
  • Research Methodology

Elective-III

  • Prompt Engineering & Generative AI
  • Vulnerability Assessment and Penetration Testing
  • Gaming Design (AI)
  • Embedded System Design

Elective – IV

  • Blockchain Technologies
  • Neural Networks and Fuzzy Systems
  • Security information and event management
  • Sensors and Actuators

Semester 7

Course Title

  • Mobile Application Development
  • Innovation & Entrepreneurship Management
  • Elective – V
  • Skill Enhancement Course
  • Project Management with Git
  • Open Elective-I
  • Project Phase – I

Semester 8

Course Title

  • Seminar
  • Internship
  • Capstone Project

In addition to the above courses, our curriculum includes the following courses powered by Coursera and industry partners.

Semester 1

Certificate courses by University /Industry Partner

Single Page Web Applications with AngularJS

Database Management Essentials
 

C for Everyone: Programming Fundamentals

Operating Systems Fundamentals

Introduction to Electronics

Economics of Money and Banking

English for Science, Technology, Engineering, and Mathematics

Successful Presentation

Semester 2

Certificate courses by University /Industry Partnerx

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

Cloud Computing Concepts, Part 1

The Bits and Bytes of Computer Networking

C++ For C Programmers, Part A,Part B

Introduction to Back-End Development

Computer Architecture

Modern Art & Ideas

Write Professional Emails in English

Semester 3

Certificate courses by University /Industry Partner

Modern Robotics, Course 1: Foundations of Robot Motion

Introduction to R Programming and Tidyverse

Neural Networks and Deep Learning

Using Databases with Python
Cloud Computing Concepts: Part 2

Career Decisions: From Insight to Impact

Semester 4

Certificate courses by University /Industry Partner

Drug Discovery

DNA DECODED      

Bioinformatics I- Finding Hidden Messages in DNA

Genome Sequencing (Bioinformatics II)

Visual Analytics with Tableau
Applications of Everyday Leadership

Learn to Speak Korean 1

Semester 5

Certificate courses by University /Industry Partner

Semester 6

Certificate courses by University /Industry Partner

Introduction to Industrial Bioprocess Development

Healthy Practices: Nutrition, Physical Activity, and Community and Family Participation

Sleep: Neurobiology, Medicine, and Society

Disease Screening in Public Health

Fee Structure for the Academic Year 2025-26

Domestic / NRI Fee Structure

Programmes

M.Sc. IT (AI & ML) / Data Science & Cloud Computing

Course Duration

2 years

1st Installment

INR 65,000

5 Subsequent Installments

INR 89,000

 

International Fee Structure

Programmes

M.Sc. IT (AI & ML) / Data Science & Cloud Computing

Course Duration

2 years

1st Installment

$ 1500

5 Subsequent Installments

$ 1000

OTHER FEES

CAUTION DEPOSIT : Rs. 5000/- to be paid by all the  students.

(Rs 3000/- will be refunded deducting incidental expenses and alumni membership.)

EXAMINATION FEES PER SEMESTER

PG Programs: Rs.3500/-

 

Job Opportunities

  • Solutions Architect
  • Data Engineer
  • Cloud Security Specialist
  • Machine Learning Engineer
  • Big Data Analyst
  • Cloud Consultant
  • Data Scientist
  • Data Privacy and Governance Specialist
  • AI Solutions Developer
  • Cloud Infrastructure Manager

Career Path

After completing a M.Sc IT degree course in Cloud Computing and Data Science at Garden City University (GCU), these are some of the most trending career opportunities:

Solutions Architect: As a Cloud Solutions Architect, you’ll design and implement cloud-based solutions for organizations. You’ll work with different cloud platforms and technologies to ensure the secure and efficient deployment of applications and services. Some recruiting companies for this role are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

Data Engineer: Data Engineers are responsible for building and maintaining data infrastructure, such as data pipelines and databases. They ensure the availability, reliability, and efficiency of data systems. Companies like TCS, Infosys, and Wipro recruit Data Engineers.

Read more

Regular recruiters on our campus include:

Biocon, Syngene, LifeCell, Cryoviva, HCG, Indigene, Anand Diagnostics, Indo-American Hybrid Seeds, Molecular Connections, Dr. Reddy’s Laboratories.

Programme Highlights
  • Key courses: Data mining and KDD, Core Java, Bigdata Analytics, Research Methodology
  • Practical hands-on learning: Conversational AI, Data Visualization
  • Specialized tools taught: RPA, R programming, Python, Weka Tool, Chat GPT, Yellow AI, HADOOP, TensorFlow, PyTorch, Scikit-learn
  • Research-based learning encouraged with projects in collaboration with MIRLABS and ATINEU
  • Accreditation/Collaboration with professional associations: IEEE, CSI, ACM, ACCS, Computing Research Association (CRA), Advanced Computing and Communications Society (ACCS)
  • Industry tie-ups: Valenta AI Pvt Ltd, IEEE, MIRLABS, ATINEU, NTT Data, HELLA
  • Industry-driven curriculum co-designed with experts from IBM, TCS, Infosys, FANUC
  • Guest lecturers and industry speakers invited monthly
  • Entrepreneurship opportunities through Entrepreneurship Cell
  • Mentorship programs from alumni and corporate executives
  • Professional certifications offered: UI Path, AWS, Azure
  • Cross-disciplinary collaboration encouraged
  • International university tie-ups for global exposure
  • Specializations offered in Artificial Intelligence, Data Science, Cloud Computing
  • Co-curricular activities promoted through Club Metavasi
Career Path

M.Sc. in IT (AI & ML) / Data Science & Cloud Computing

After completing a M.Sc IT degree course in Cloud Computing and Data Science at Garden City University (GCU), these are some of the most trending career opportunities:

Solutions Architect: As a Cloud Solutions Architect, you’ll design and implement cloud-based solutions for organizations. You’ll work with different cloud platforms and technologies to ensure the secure and efficient deployment of applications and services. Some recruiting companies for this role are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

Data Engineer: Data Engineers are responsible for building and maintaining data infrastructure, such as data pipelines and databases. They ensure the availability, reliability, and efficiency of data systems. Companies like TCS, Infosys, and Wipro recruit Data Engineers.

Cloud Security Specialist: Cloud Security Specialists focus on ensuring the security and compliance of cloud-based systems. They design and implement security measures, conduct risk assessments, and develop strategies to protect data. Companies such as Accenture, Deloitte, and KPMG hire Cloud Security Specialists.

Machine Learning Engineer: Machine Learning Engineers develop and deploy machine learning models and algorithms. They work on projects related to natural language processing, computer vision, and predictive analytics. Companies like NVIDIA, Cognizant, and HCL Technologies offer opportunities for Machine Learning Engineers.

Big Data Analyst: Big Data Analysts analyze large volumes of data to uncover patterns, trends, and insights. They use tools and techniques such as Hadoop, Spark, and data visualization software. Companies like Flipkart, Paytm, and Swiggy recruit Big Data Analysts.

Cloud Consultant: Cloud Consultants provide guidance and expertise on cloud adoption and implementation. They assess organizational needs, design cloud architectures, and recommend suitable cloud platforms and services. Companies such as PricewaterhouseCoopers (PwC), Capgemini, and Infosys Consulting hire Cloud Consultants.

Data Scientist: As a data scientist, you will analyze and interpret complex data sets to extract valuable insights and drive decision-making processes. You will work with statistical models, machine learning algorithms, and programming languages to derive actionable intelligence from data. Recruiting Companies: Amazon, Flipkart, Accenture, TCS, Infosys, IBM, Microsoft, Fractal Analytics.

Data Privacy and Governance Specialist: Data Privacy and Governance Specialists ensure that organizations comply with data protection regulations. They develop and implement data governance frameworks and privacy policies. Companies like Ernst & Young (EY), Deloitte, and PwC recruit professionals in this field.

AI Solutions Developer: AI Solutions Developers create applications and systems that leverage artificial intelligence technologies. They work on projects involving machine learning, natural language processing, and computer vision. Companies like Infosys, Accenture, and Tech Mahindra offer opportunities for AI Solutions Developers.

Cloud Infrastructure Manager: Cloud Infrastructure Managers oversee and manage the cloud infrastructure of organizations. They ensure the optimal performance, scalability, and availability of cloud-based systems. Companies like Tata Consultancy Services (TCS), Wipro, and Infosys hire Cloud Infrastructure Managers.