Interested to Pursue Ph.D. in Data Science, Read This
Ph.D. in the field of Data Science is an interdisciplinary STEM doctoral degree program that focuses on systems and technologies for processing data and information. This degree program offers advanced training in theoretical and computational methods. Students in this program experiment using various technologies to develop algorithms and models by which big data sets can be managed with sophistication. Ph.D. in big data typically helps big data practitioners, researchers, and scientists who work with large data, write code, develop models, and build systems. In this program, students will develop theoretical and applied skills, including how to design, deploy and assess information-oriented big data technologies that support decision-making across the social and organizational level.
A candidate pursuing a Ph.D. in Data Science must determine whether he/she will use their Ph.D. degree to get a job as a big data engineer or to do deeper research and try to solve complex, theoretical problems. Many Ph.D. programs offer training in scientific fields such as statistics, mathematics, computer science, or information systems.
Getting a Ph.D. in Data Science
Professional opportunities in big data analytics are growing at an unprecedented pace. In India, it has become an incredible job option as the country is emerging as a global data hub and a majority of overseas companies are looking to establish their present to grow their businesses.
Pursuing a career in Ph.D. requires a candidate to have a Bachelor's or Master's degree or equivalent degree in Electronics/Computer Science/ Electrical Engineering/ Information Technology/ Bioinformatics with Mathematics as a subject at the undergraduate or postgraduate level. Though these degrees are not required for admission at some institutes, students at least must have some level of training or experience in technology, including areas such as computer programming through data structures, database management systems, linear algebra, networking and graph theory.
To get admission for Ph.D. in Data Science, an applicant will have to fill an application form online at the respected institution.
Area of Specialization for Ph.D. in Data Science
- Big Data
- Databases and Data Analytics
- Architecture and Embedded Systems
- Data Mining
- NLP
- Database Management
- Statistical Computing
- Ethics and Human Factors
- Artificial Intelligence
- Machine Learning
- Data Science
- Experiment Design and more.
Exams
Candidates for Ph.D. in Data Science will have to take a qualifying exam. This can vary from university to university. Some institutes take candidates based on marks of GATE, UGC NET, CSIR NET or JRF exams, while some select candidates based on PG qualifications, academic credentials, written test, and personal interview.
While Ph.D. enables students to perform inclusive tasks of a statistician, analyst, and engineer, a number of universities offer this program to get specialization through research and fulfill a career in the world of data. According to our analysis, 64% of universities offering Ph.D. in Data Science are located in West zone, followed by South and East zone at 14% and 7%, respectively.
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