Master of Science in Data Science

Data science is an interdisciplinary field of scientific methods, processes and systems for understanding the modern-age data sources, modelling the data behavior, extracting the business insight from that data, predicting the future behavior and delivering the useful data-driven business applications.

In 2013, IBM estimated that two and a half million terabytes of data are created every day. Some of the sources, generating the data are:

• Individuals (through social networks and smartphones for the reflection of society)
• Machines (through real-time, network-connected sensors – “the internet of things”)
• Business and commerce (e.g. transaction records and financial data)
• Education (e.g. academics, literature, research)
• Medical / Healthcare (personal health records, health insurance)
• Justice (crime statistics for a city for the sake of efficient resource deployment) g) Transportation (Vehicle, pedestrians, trains, airlines, movement data)

The challenge is to make sense of this ever-increasing source of data for the use and benefit of society. A lot many companies and higher education institutions are already planning and implementing for this data tsunami. Data science has emerged as an interdisciplinary paradigm that draws upon the traditionally distinct areas of computer science, applied mathematics and statistics, applications from natural and social science, engineering, and business for developing solutions for gathering, cleaning, archiving, analyzing and visualizing data for the purposes of making informed decisions. The Master of Science in Data Science (MS-DS) program aims to develop core competencies in various areas of data science like understanding data products, data extraction, data cleaning, data modeling, classification, clustering, predictions, etc. Students will have the opportunity of learning the technical aspects of data science by understanding the trends in the current data products and preparing for the required data analysis skillset for the upcoming information processing systems. To cater to a wide range of professional and academic interests, students have the option of selecting their course work according to their specific needs. Riphah Institute of Systems Engineering (RISE) is currently offering MS (Information Security) program and the proposed MS (Data Science) program is expected to not only complement the existing program but also it will open new opportunities for coping with the challenges of the near future.

• 16-years of education in computing/science/engineering discipline preferably with 4 years degree program of BS (Computer Science, Software Engineering, Information Technology, Applied Mathematics, Mathematics, Statistics, Computer Engineering, and Electrical Engineering) or equivalent from HEC recognized university or degree awarding institute.
• At least CGPA of 2.0 on the scale of 4.0 or 60% marks in the previous degree.
• Two years of relevant work experience is recommended.

You need to complete 30 credit hours to successfully obtain this degree. Please check detail of study units at https://www.riphah.edu.pk/master-of-science-in-data-science-ms-ds/

The key objectives of the proposed MS-DS program are:

• To provide the students a well-structured academic program that can fulfil their industry needs.
• To provide the students a conducive environment where they can learn the state of the art technologies to become valuable data science professionals.
• To enable the students to understand the ethical values while dealing with the private and sensitive data sets.
• To enable the students to understand the current issues and challenges in data science and to identify new areas and solutions to enhance the business productivity of the industry.

You can join one of the following careers:

• Data Scientist
• Data Science Developer
• Data Science Consultant