Top 10 Universities Offering PhD in Data Science

Big data is the thing that matters in future. It is already validated that without technical knowledge it is hard to survive in the current world. Additionally, with automation in progress, the only subject that can lucratively employ humans is data science. Those candidates who are already pursuing their Bachelor’s or Master’s degree in data science must be having to attend to journal call for paper related to this field. Hence, their aspirations may grow and develop to do something bigger, invest something in the field through a deeper research model. Therefore, a PhD in data science can significantly consolidate your career and future.

Here are top 10 universities providing Ph.D. in Data Science:

1. Brown University– Providence, Rhode Island- Brown University’s database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL. To gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project. Coding well in C++ is preferred. All students must also train as teaching assistants for at least one semester. 2019-2020 Tuition: $66,702 per year approx.

2. New York University, New York- Due to its strong math department and Center for Data Science led by Yann LeCun, the MS in Data Scienceis a great option. It’s among the first few universities that started dedicated data science program, so the MS program has grown fairly mature. Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with ten years of entering the program. 2019-2020 Tuition: $1,856 per unit.
3. Monash University, Australia- There’s hardly any global university ranking where Monash University doesn’t rank among the top 100. The public research university came into being in the year of 1958, and currently has a student population north of 78,000. Two of its largest campuses are located in Melbourne, at the suburbs of Clayton and Caulfield, while a bunch other lie across the state of Victoria. At Monash, students can attain a PhD in Data Science in Australia by coming up with a research problem within the field that gets approved by the Faculty of Information Technology, and then, independently investigating it. A supervisory team consisting of at least two supervisors will support a student throughout the program. Students will undertake a set of compulsory coursework that covers advanced training in IT research methods. The standard duration of the PhD program is four years in full-time format and eight years in part-time format. It takes place at the Clayton and Caulfield campuses.
4. The University Of Maryland, College Park, Maryland- Course: PhD in Information Studies – Concentration in Big Data/Data Science. PhD students can take part in research in a variety of areas, including big data, data science, and informatics. The program is designed for students who want a research-oriented career, and faculty members mentor students in a variety of disciplines. The program does not list any specific prerequisites for the doctoral program, and the interdisciplinary program accepts students with varied academic backgrounds. Students can go for either Full-time or part-time program.2019-2020 Tuition: $731 per credit (Maryland Resident), $1,625 per credit (Non-resident). Length: 27 Credit Hours.

5. Carnegie Mellon University:  A lot of great programs, including Master of Computational Data Scienceand Master’s in Machine Learning. CMU offers great quality big data courses and is always among the target schools for big tech employers. Many universities in USA offer a Master’s with PhD program. There may be a possible scope of the same here too.
6. University of Auckland, New Zealand- This is one of the most prestigious universities in New Zealand which provides a great research opportunity for students in data science. While at one of the top universities of the world, you don’t need to wait forjournal call for paper;there will be publishers all around you as you feature the best findings and proposals in your research projects. With a wonderful team to guide you in your big data quest, Auckland can give you a great future opportunity to stay, work and create in New Zealand.
7. McGill University, Canada- This is one of the top universities of the world, which provides a Master’s program, certification programs, which directs the doctoral program at a very affordable rate. Certification programs with data science start at $13k per year. However, Master’s and doctoral programs are pretty standard at affordable rates.
8. University of Waterloo, Canada- This is a very good university which has promising admission rates for students interested in data science. Master in data science costs around $30k per year, which leads to the doctoral program. However, TOEFL requirements are high here. A required score of 100 can be overwhelming for many students. Also, the University of Waterloo is located in a secluded area of Canada, which is extremely cold, and regular communications might require French.
9. Kennesaw State University – Kennesaw, Georgia. Course: PhD in Analytics and Data Science – Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48-course hours and six electives (spread over four years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship. Before dissertation research, a comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics. Successful applicants will have a master’s degree in a computational field, calculus I and II, programming experience, modeling experience, prestigious journal call for paper, and are encouraged to have a base SAS certification.2019-2020 Tuition:  $1,066 per credit. Length: 4 years (approx.)
10. California Institute of Technology, Pasadena, California. Course: PhD in Computing and Mathematical Science focusing on Data Sciences– Caltech has a PhD in Computing and Mathematical Sciences that is multidisciplinary and brings together faculty and students from fields including computer science, electrical engineering, applied math, operations research, economics, and the physical sciences. In their first year, all students take courses in math and computing fundamentals, and each student must take three courses in a focus area and meet breadth requirements. All candidates must complete a dissertation. Tuition: $54,537 per year. Length: 3 Years approx.