Read about the criteria required for aspiring data professionals to get a Ph.D. in Data Science

Ph.D. in Data Science programs is gaining popularity rapidly through widespread recognition across the world. Aspiring data professionals have started shifting towards data science owing to its diversity and importance in this tech era. India knows the importance of data science in multiple industries to meet customer satisfaction and drive sufficient revenue in the domestic market. Thus, Indian educational institutes have started offering a Ph.D. in Data Science for students to study in-depth about data science and its issues and opportunities. The degree programme is popular for offering advanced training in theoretical as well as computational methods through a wide variety of research scopes. Students can experiment with different technologies and tools to develop algorithms and models for effective data management. This course helps students to work with large data, code, models, and systems as data science practitioners, researchers, and scientists.

There is a growing demand for Ph.D. programs for their training in multiple scientific fields like mathematics, statistics, computer science, or information systems. A Ph.D. holder can determine to utilize the professional degree in data science to get recruited in reputed tech companies or continue to research for solving complicated problems in a real-world environment. 

Getting a Ph.D. in Data Science

India is approaching a global data hub while attracting reputed tech companies to invest in and establish their presence to expand their business branches in India. This is creating ample job opportunities for aspiring data professionals with salaries ranging from decent to lucrative. 

Aspiring data professionals need certain qualifications to kickstart their careers in Ph.D. in Data Science— a Bachelor's and a Master's degree in Electronics/Computer Science/Electrical Engineering/Information Technology/Bioinformatics with Mathematics as a subject. There should be at least some level of training and practical experience in advanced technologies such as computer programming with a specialization in data science such as data structures, database management systems, and many more. 

To get admission for Ph.D. in Data Science, an applicant will have to fill out 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.

Entrance Exams

Qualifying for an entrance examination is needed to pursue a career in Ph.D. in Data Science. But, there are flexibilities regarding entrance exams in different educational institutes. Some are based on marks of GATE, UGC NET, CSIR NET, or JRF, meanwhile, some select applicants based on PG qualifications, academic credentials, admission tests, as well as personal interviews. 

A Ph.D. degree is known for allowing students to perform inclusive tasks of a statistician, analyst, and engineer. Meanwhile, a number of universities offer this program to get specialization through research and pursue a career in the world of data. According to our analysis, 70% of universities with Ph.D. in Data Science are located in Western India while the Southern and Eastern Zone consists of 18% and 12% respectively.