M.Sc. (Data Science)

The m. Sc. In data science at da-iict brings together computational and statistical skills for effective data-driven problem-solving. This full-time program equips students with the analytical tools to design advanced technical solutions, emphasizing modern computational methods and rigorous statistical thinking. 

Designed for those seeking to begin or advance their careers in data science, this professional master’s program welcomes students from various disciplinary backgrounds. Core courses provide a fundamental understanding of data science, covering key areas such as machine learning, data analysis, and data engineering while addressing data science's ethical and legal implications.

Our industry-relevant curriculum ensures students gain the skills to extract valuable insights from big data. Throughout the program, students will develop expertise in statistical modeling, data engineering, machine learning, data visualization, software engineering, research design, data ethics, and user experience. This comprehensive training meets the growing demands of industry, non-profits, government agencies, and other organizations.

Industry-Relevant Curriculum

• Data science is a fast-evolving field, and our curriculum is designed to equip students with the skills needed to meet the advancing needs of tomorrow. Master the essentials of Data Science through our diverse curriculum, covering all six pillars of data science: Mathematics, Statistics, Programming, Data Engineering, Machine Learning, and Ethics & Communication.

Program Breakdown
The M.Sc. Data Science is a 76-credit program, comprising:

Core Courses:

• 2 Core Mathematics courses (7 credits)
• 2 Core Statistics courses (8 credits)
• 1 Core Programming course (4 credits)
• 2 Core Data Engineering courses (8 credits)
• 3 Core Machine Learning courses (12 credits)
• 1 Core Ethics course (3 credits)

Project and Internship Opportunities

• All students undertake a data science minor project (6 credits) under the guidance of a professor at DA-IICT. This project starts in the summer and concludes by the end of the third semester, focusing on a practical data science research question, either individually or as a team of two to three students.
• For those seeking hands-on experience in a science and technology workplace or with research, the program offers a 6-month internship or the option to complete a major (research) project.
• This comprehensive curriculum ensures that graduates are well-prepared to tackle the challenges and opportunities in the field of data science.

Faculty Expertise

• Gain access to faculty with global experience and doctorates from prestigious institutions such as the University of Toronto, Carnegie Mellon University, University of Chicago, IITs, and other top universities worldwide. Our professors collaborate with industry and government to address real-world issues and integrate their research into the classroom. Additionally, teaching is complemented by sessions conducted by industry experts, providing students with practical insights and knowledge.

Peer-Learning Clubs (PLCs)

• Engage with student-led learning communities that promote collaboration and a sense of belonging. These Peer-Learning Clubs (PLCs) enrich students’ academic journey by fostering a supportive and interactive learning environment.

Emphasis on Holistic Development

• Experience a hands-on learning approach with regular assessments designed to ensure a well-rounded education. 

Our teaching methods include:

• Surprise quizzes
• Group projects
• Case studies
• 100-minute development challenges
• Teach-the-teacher exercises

These activities are designed to enhance students' critical thinking, problem-solving, and communication skills, preparing them for the dynamic field of data science.

Outstanding Job Placement Success

• Graduates of the M.Sc. in Data Science program at DA-IICT enjoy remarkable job placement success across a variety of roles, including: Data Scientist, Data Engineer, Data Analyst, Quantitative Analyst, Machine Learning Engineer, and Software Developer.
• Our program boasts a noteworthy placement record within our postgraduate programs over the past years.

Employers in the Field
Our graduates are highly sought after by leading organizations across various sectors, including:

• Consulting Firms: EY, KPMG, Futures First
• Financial Services Companies: American Express, GiftStreet Capital
• IT Companies: SAS R&D, Micron Semiconductor, Amazon Development Centre, Colgate Global, and many more.
• Government Departments and Organizations: Indian Space Research Organisation (ISRO)
• Universities and Public Research Institutions: IIT Gandhinagar, IIT Delhi, IIIT Hyderabad, CSIR, IPR, etc.

Technical and Professional Skills

• Upon graduating from the program, students will possess a robust knowledge of modern statistical methodology and computing, equipping them for successful careers in data science.
• Graduates will be able to demonstrate advanced critical analysis and independent inquiry skills, maintain intellectual integrity, and apply modern statistical methods and computing effectively. They will excel in writing, research, problem-solving, and communication, foster creative and critical thinking, and drive positive changes in their communities and workplaces.

Further Study

• Upon completing the M.Sc. in Data Science, students may qualify to undertake a PhD (Doctor of Philosophy) in India or abroad, further enhancing their expertise and career prospects.