Masters of Science in Data Science and Analytics

Overview of the Programme

Masters of Science in Data Science and Analytics

MSc in Data Science and Analytics is a two-year inter-disciplinary post-graduate degree programme conducted by Department of Computer Science. This programme is designed for working professionals and graduates who want to launch their career in the in-demand and lucrative field of data science and analytics. This program combines the latest advancements in data science with the practical applications of data analytics, providing professionals with a comprehensive understanding of the field. The program is designed to help professionals develop the skills and knowledge needed to make data-driven decisions and solve complex problems. The curriculum covers a wide range of topics, including data mining, machine learning, statistical modelling, big data, and more.

Course Structure

Semester 1

Course Title

  • Core Java
  • Advanced Database Management System
  • Artificial Intelligence
  • Statistical Analysis
  • Research Methodology

Semester 2

Course Title

  • Python Programming
  • Software Testing and Quality Assurance
  • Cloud Computing
  • Data Mining and Analytics
  • Mathematical Foundation for Data Science

Semester 3

Course Title

  • Robotic Process Automation
  • Big Data Analytics
  • Design Thinking
  • Neural Networks and Deep learning
  • Programming in R for Data Analytics

Semester 4

Course Title

  • Internship
  • Dissertation

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

Semester 2

Certificate courses by University /Industry Partnerx

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
Cloud Computing Concepts, Part 1

Semester 3

Certificate courses by University /Industry Partner

Alternative Approaches to Valuation and Investment
Cost Accounting: Decision Making

Specialization Courses

Garden City University offers a variety of specialization courses for students to pursue their passions and career goals. These courses cover a wide range of fields, including finances, banking & insurance, accounting, and taxation.

Accounting and Taxation

  • Advanced Accounting
  • Business Taxation
  • Goods & Service Tax
  • ERP in Accounting

Banking and Insurance

  • International Banking and Foreign Exchange Management
  • Risk & Insurance Management
  • Life and non-life insurance
  • ERP in Banking

Finances

  • Advanced Financial Management
  • International Financial Management
  • Security Analysis and Portfolio Management
  • ERP in Finance

Programme Highlights

Pedagogy and Assessment

At Garden City University, our commitment to excellence in the M.Sc. Data Science and Analytics program extends beyond conventional teaching methods. Recognizing the dynamic nature of the field, our pedagogy is designed to empower students with cutting-edge technologies and analytics methodologies, ensuring they are at the forefront of industry trends.

Incorporating a blend of active teaching methodologies, our curriculum places a strong emphasis on practical applications using industry-standard tools and technologies. Students engage in hands-on experiences with leading data science platforms such as Python, R, and SQL, acquiring the skills needed for effective data manipulation, analysis, and visualization.

Our immersive case study assessments are strategically crafted to challenge M.Sc. Data Science and Analytics students to apply their theoretical knowledge using these technologies in real-world scenarios. This approach ensures a deep understanding of data science methodologies and their practical implications.

Fee Structure for the Academic Year 2024-25

Domestic / NRI Fee Structure

Programmes MSDA

Course Duration
2 years

1st Installment
INR 50,000

3 Subsequent Installments
INR 75,000

International Fee Structure

Programmes
MSDA

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 after successful completion of the course and Rs. 2000/- would be retained towards registration fees for life time Alumni Association Membership)

EXAMINATION FEES PER SEMESTER

PG Programs: Rs.3500/-

Job Opportunities

Career Path

After completing a M.Sc. Data Science and Analytics at Garden City University (GCU), these are some of the most trending career opportunities:

Data Scientist: Analyzing and interpreting complex datasets to inform business decision-making. Data scientists use statistical techniques, machine learning, and programming skills to extract insights and build predictive models.

Data Analyst: Focusing on interpreting and analyzing data to help organizations make informed decisions. Data analysts work with databases, statistical tools, and visualization techniques to present findings.

Business Intelligence (BI) Analyst: Using data analysis tools to provide insights into business performance. BI analysts create reports and dashboards to assist organizations in strategic planning.

List of companies where UG & PG Commerce and Management students of GCU got placement opportunities:

Frequently Asked Questions

How can I apply for admission to Garden City University?

Apply online through this link https://admissions.gardencity.university/ or Schedule an appointment through the link below to meet with a counselor at the admissions office.
Register and verify your email to initiate the application process.
Submit your application and pay the Rs 2000/- fee.
Receive a conditional offer letter after your application is reviewed, which outlines the conditions for acceptance.
Comply with the conditions stated in the offer letter, meeting eligibility criteria, fulfil specific requirements, complete assigned tasks, and pay the first instalment fee.
Upon meeting the conditions, receive an Enrolment Letter confirming your acceptance into the program.

Are there scholarships or finance options available for students?

Garden City University is committed to supporting students in their academic pursuits through scholarships and finance options.
For information on Scholarship please visit https://www.gardencity.university/scholarship/ or speak to our Admission Counsellor at +919019921992.
Garden City University has collaborations with Non-Banking Financial Companies(NBFCs) that offer interest-free student loans specifically for fee payments. For any assistance, please speak to our Admission Counsellor at +919019921992.

What are the co-curricular and extracurricular activities practised at GCU?

The University has a highly acclaimed and active NCC unit which organises parades and involves itself in activities at a National level. The NSS wing of the University has human care, sustainable practices, educating the downtrodden as its core activities. The NSS has adopted five villages of Bangalore in line with the vision of the Government of India’s Swachhata Abhiyan mission and being recognised among the top 65 institutions in the country making it the right candidate to be chosen for the hall of fame. The University has 35 clubs ranging from Debate to music to badminton to futsal to frisbee to chess to dance. Core teams comprising of students participate in media coverage of national and international events (https://www.gardencity.university/campus-life/calendar-of-events/), fashion show which is a part of the fashion and apparel design school with international brands (https://www.gardencity.university/campus-life/calendar-of-events/), entrepreneurship and management club, incubation club, research club, beekeeping club, catering club and so on. Being an Interdisciplinary studies University there is much emphasis on giving the student a rounded perspective of studies and activities of individual interest.

What is the teaching style at Garden City University?

Garden City University follows a combination of teaching methods, including lectures, interactive sessions, group discussions, case studies, practical demonstrations, blended learning, self-directed study, and more.

Does Garden City University facilitate internships for students?

Absolutely! Garden City University has seamlessly integrated compulsory internships into its curriculum across all programs. GCU has  established collaborations with numerous industries and organizations to offer extensive internship opportunities for our students. These internships play a pivotal role in providing practical exposure, enhancing professional skills, and fostering industry connections, thus preparing students for successful careers.

Does Garden City University provide hostel facilities?

Yes, the university provides separate hostel facilities for male and female students. To know more, please visit https://www.gardencity.university/campus-life/accommodation/

Overview of the Programme

Masters of Science in Data Science and Analytics

MSc in Data Science and Analytics is a two-year inter-disciplinary post-graduate degree programme conducted by Department of Computer Science. This programme is designed for working professionals and graduates who want to launch their career in the in-demand and lucrative field of data science and analytics. This program combines the latest advancements in data science with the practical applications of data analytics, providing professionals with a comprehensive understanding of the field. The program is designed to help professionals develop the skills and knowledge needed to make data-driven decisions and solve complex problems. The curriculum covers a wide range of topics, including data mining, machine learning, statistical modelling, big data, and more.

The field of data science has witnessed an immense growth in recent years particularly due to the rise of internet and social media. The exploration of data science by the business world initially started with analysis of business data and hence emphasis was given for financial data analytics. This programme is tailored for those looking to step into senior roles and secure analytics-based or data science-related positions. Whether you come from tech, finance, healthcare, or any industry, this programme equips you with the analytical knowledge needed to excel. With the availability of modern technologies of data storage, cleaning and computing, the study of data science expanded beyond the boundaries of mathematics and statistics. In modern days the study of data science is constituted with the knowledge of mathematics, statistics, and computer science. You do not need to be a programming expert before you join us. GCU will explore a variety of industry-standard tools (such as R and Python), which will allow you to choose which technologies you want to specialise in.

 

Programme Highlights

Pedagogy and Assessment

M.Sc. in Data Science and Analytics

At Garden City University, our commitment to excellence in the M.Sc. Data Science and Analytics program extends beyond conventional teaching methods. Recognizing the dynamic nature of the field, our pedagogy is designed to empower students with cutting-edge technologies and analytics methodologies, ensuring they are at the forefront of industry trends.

Incorporating a blend of active teaching methodologies, our curriculum places a strong emphasis on practical applications using industry-standard tools and technologies. Students engage in hands-on experiences with leading data science platforms such as Python, R, and SQL, acquiring the skills needed for effective data manipulation, analysis, and visualization.

Our immersive case study assessments are strategically crafted to challenge M.Sc. Data Science and Analytics students to apply their theoretical knowledge using these technologies in real-world scenarios. This approach ensures a deep understanding of data science methodologies and their practical implications.

To foster independent exploration and specialization, we integrate opportunities for students to leverage Massive Open Online Courses (MOOCs) platforms. These platforms enable M.Sc. Data Science and Analytics students to delve into advanced topics, learn about the latest analytics methodologies, and stay abreast of emerging technologies shaping the industry.

The pinnacle of our pedagogical approach is the major project, where students have the freedom to immerse themselves in a subject of their choice. Leveraging technologies such as machine learning, artificial intelligence, and big data analytics, students showcase their expertise and research acumen, preparing them for the dynamic challenges of the data-driven world.

Complementing these experiences is a mandatory six-month internship, providing M.Sc. Data Science and Analytics students with invaluable practical exposure to industry settings. During the internship, students apply their knowledge of analytics methodologies and technologies in real-world projects, gaining hands-on experience and honing their skills for seamless integration into the professional landscape.

Our assessment methods, including internal quizzes, end-semester examinations, viva sessions, case study solving, and field visits, are designed to comprehensively evaluate not only academic knowledge but also practical proficiency in utilizing data science and analytics technologies.

At Garden City University, we are committed to delivering a transformative learning experience that equips M.Sc. Data Science and Analytics students with proficiency in the latest technologies and methodologies. Our pedagogy ensures that graduates are not only well-prepared academically but are also proficient in applying state-of-the-art tools and techniques demanded by the evolving data science and analytics industry.

 

Career Path

M.Sc. in Data Science and Analytics

After completing a M.Sc. Data Science and Analytics at Garden City University (GCU), these are some of the most trending career opportunities:

Data Scientist: Analyzing and interpreting complex datasets to inform business decision-making. Data scientists use statistical techniques, machine learning, and programming skills to extract insights and build predictive models.

Data Analyst: Focusing on interpreting and analyzing data to help organizations make informed decisions. Data analysts work with databases, statistical tools, and visualization techniques to present findings.

Business Intelligence (BI) Analyst: Using data analysis tools to provide insights into business performance. BI analysts create reports and dashboards to assist organizations in strategic planning.

Machine Learning Engineer: Building and implementing machine learning algorithms and models. Machine learning engineers work on developing systems that can learn and adapt without explicit programming.

Big Data Engineer: Designing, developing, and maintaining large-scale processing systems for big data. Big data engineers work with tools like Hadoop and Spark to handle and process massive datasets.

Data Engineer: Building, testing, and maintaining data architecture (databases, large-scale processing systems) for efficient data retrieval and storage.

Quantitative Analyst: Applying statistical and mathematical models to analyze financial data, often in the context of risk management and investment strategies.

Predictive Modeler: Developing models to predict future trends or outcomes based on historical data. This role is prevalent in marketing, finance, and healthcare.

Data Architect: Designing and creating data systems and structures for organizations. Data architects ensure that databases and systems are optimized for data storage and retrieval.

Business Analytics Manager: Overseeing analytics initiatives within an organization, ensuring that data-driven insights contribute to strategic decision-making.

Research Scientist: Conducting research and experiments to develop new algorithms and methodologies in the field of data science and analytics.

Data Consultant: Providing expert advice on data-related matters to businesses, helping them optimize their data strategies and implementations.

Healthcare Data Analyst: Applying data analytics in the healthcare sector to improve patient outcomes, optimize operations, and support medical research.

Fraud Analyst: Using data analytics to detect and prevent fraudulent activities in various industries, such as finance and e-commerce.

Cybersecurity Analyst (with a focus on Data): Analyzing data to identify and prevent security threats and breaches.

 

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