Data Science Institute
A full member of Woolf, a Higher Education Institution in Europe.
Accreditation:
The Data Science Institute is committed to advancing the skills and expertise of global data science professionals. Our mission goes beyond technical proficiency, focusing on instilling a mindset that empowers professionals to contribute to data literacy, foster innovation, and drive digital transformation. Our accredited academic programs, including a Postgraduate Certificate, Postgraduate Diploma, and MSc in Data Science, are designed to cultivate both technical prowess and creative problem-solving skills. Open to graduates from diverse disciplines, these programs offer internationally transferable credits, with a strong emphasis on practical application through project-based assessments. Our inclusive student body, comprising senior and middle managers, experienced data scientists, analysts, recent graduates, and career transitioners with diverse backgrounds, ensures a dynamic learning environment that reflects the varied perspectives and experiences within the field of data science. Join us at the forefront of data science education and propel your career to new heights.
Degrees
Postgraduate Diploma in Data Science
Postgraduate Diploma in Data Science
Postgraduate Certificate in Data Science
Postgraduate Certificate in Data Science
Master of Science in Data Science
Master of Science in Data Science
Dean
Grainne Barry
Co-Founder and CEO of the Data Science Instititue , an organisation focused on delivering higher education and qualifications that enable anyone to transition to data science. As Data Science, Analytics, Machine Learning and AI are transforming business, our mission is to give access to professional and higher education in these fields globally. Our unique programmes are developed by industry professionals and lead to internationally recognised credit rated qualifications that are accessible, affordable and fast track to Masters and Bacherlors degrees.
Academic board members
Sujata Suvarnapathki
Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.
Stephen Dorgan
Advisor, CEO and Non-Executive Director with over 20 years consulting, line management and boardroom experience.
Stephen works with leading industrial and healthcare businesses to transform corporate performance and productivity in a dramatic, tangible and sustainable way.
Stephen has created over $10bn in value via corporate turnarounds and operational improvement, while also saving thousands of industrial jobs. He has improved the quality of healthcare for millions, saving >80,000 years of life, doubling the performance of entire healthcare systems and generating >$5bn in value for national economies.
A leading thinker on how management practice drives corporate performance, his tools have been deployed in over 19,000 organisations across 35 countries. He is an international expert and author on management practice, productivity, and performance in both industrial and healthcare organisations.
For 30 years Stephen has worked with a range of charities focused upon improving the quality of life for the most vulnerable in society. He has received >20 awards and honours for his contributions to Engineering, Manufacturing, and Management Practice, including a knighthood for his charitable work.
Eur Ing Dr Stephen Dorgan GCHS BE ALM PhD CEng FIET FIoD FRAMI Chartered Engineer, Chartered Electrical Engineer, Dip IoD
Faculty, Instructors and Professional Experts
Rufi Shaikh
Passionate and dedicated PhD scholar specializing in 'Biostatistics and Demography', with a strong background in Statistics and Data Science, and 5 years of research experience, with Proven ability to conceptualize, design, and execute innovative research projects, resulting in publications in indexed journals and best paper award in conferences. Skilled in critical analysis, problem-solving, and effective communication of complex ideas to both academic and non-academic audiences.
Rachit Agarwal
Data professional with approximately 7 years of hands-on experience specializing in executing data-driven solutions to enhance efficiency, accuracy, and utility within internal data processing systems. Passionate about leveraging data to drive informed decision-making and enhance organizational performance, seeking opportunities to contribute to innovative data projects and drive business growth.
Babita Kachroo
Assistant Professor at Usha Pravin Gandhi College of Management.
Successfully completed Post Graduate Diploma in Data Science from Sankhya Analytics Research Pvt. Ltd.
PROJECT: MARKETING ANALYTICS (FMCG COMPANY).
Objective: To develop scientific method of communication for the next planned campaign for a leading FMCG company of India which manufactures and sells a host of products.
Performed: Data Management, Feature Engineering, Exploratory Data Analysis, Data Visualization, Predictive modeling, Machine learning Algorithms and Text mining using R and Python to determine the effective communication channel for the next campaign.
Vinayak Deshpande
- M.Sc. Statistics, Mumbai University (1997),First Rank
- Professor- Ramnarain Ruia College (1997-2007)
- Founder, Managing Director: Sankhya Analytical Research Pvt. Ltd. (2007)
- Director: Medicounts Life Sciences Pvt Ltd(2013)
- Principal Consultant: Direxions Marketing Solutions Pvt. Ltd. (2013)
- Provided consulting services to reputed clients in India, USA and Korea in BFSI, Retail,
- FMCG and Pharma domains
- Published papers on biostatistics, marketing analytics ,econometrics
- Member-Board of Studies St. Xaviers College, Mumbai
- Member-Board of Studies SIES College, Mumbai
- Member-Board of Studies Ramnarain Ruia Autonomous College, Mumbai
- Member-Data Safety Monitoring Board (Alkem Laboratories and Glenmark Pharma)
Recent research papers:
- Evaluating Principal Component Regression in case of severe Multicollinearity.
- Comparison of predictive modeling methods: Naïve Baye’s,Logistic Regression and
- Support Vector Machines.
Sujata Suvarnapathki
Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.
Paul Penman
COO at the Data Science Institute.
Stephen Dorgan
Advisor, CEO and Non-Executive Director with over 20 years consulting, line management and boardroom experience.
Stephen works with leading industrial and healthcare businesses to transform corporate performance and productivity in a dramatic, tangible and sustainable way.
Stephen has created over $10bn in value via corporate turnarounds and operational improvement, while also saving thousands of industrial jobs. He has improved the quality of healthcare for millions, saving >80,000 years of life, doubling the performance of entire healthcare systems and generating >$5bn in value for national economies.
A leading thinker on how management practice drives corporate performance, his tools have been deployed in over 19,000 organisations across 35 countries. He is an international expert and author on management practice, productivity, and performance in both industrial and healthcare organisations.
For 30 years Stephen has worked with a range of charities focused upon improving the quality of life for the most vulnerable in society. He has received >20 awards and honours for his contributions to Engineering, Manufacturing, and Management Practice, including a knighthood for his charitable work.
Eur Ing Dr Stephen Dorgan GCHS BE ALM PhD CEng FIET FIoD FRAMI Chartered Engineer, Chartered Electrical Engineer, Dip IoD
Grainne Barry
Co-Founder and CEO of the Data Science Instititue , an organisation focused on delivering higher education and qualifications that enable anyone to transition to data science. As Data Science, Analytics, Machine Learning and AI are transforming business, our mission is to give access to professional and higher education in these fields globally. Our unique programmes are developed by industry professionals and lead to internationally recognised credit rated qualifications that are accessible, affordable and fast track to Masters and Bacherlors degrees.
Snigdha Pain
Snigdha is Professor of Statistics at Lady Brabourne College, a leading college for women’s education. She has an MPhil in Computer Application of Statistics and has published many academic papers focused on healthcare and nutrition. In addition to over 15 years teaching core statistics, has over five years’ experience teaching data science and advanced analytics with R, Python, C, SPSS and business intelligence tools. Snigdha also consults to industry and has had many assignments in healthcare and the pharmaceutical sector.