Data science is a broad based field where scientific methods and techniques are used to extract information and insights from data in various forms. The scientific techniques could be processes or algorithms specifically curated to solve this. Data is extracted and analyzed on the industrial basis to obtain and edge over the others in industries and businesses.
It is today one of the most challenging and picked up career options for students because of the use of the latest technology and vast knowledge it has to offer. Data science basically is standing onto three pillars: Statistics & Machine Learning, Computer Science and Software Development and Domain Knowledge. To Geoffrey Hinton “This is a much more robust way of identifying objects”.
Masters in Data Science from a top university is a dream of countless students across the world.
Masters in Data Science: Top Universities in the World
MS in Data Science: Universities in the US
1. New York University
Looking for the best university to understand the real-world business problems? he Master of Science in Data Science in NYU is a highly-selective program for students with a solid background in mathematics, applied statistics and computer science. One of the significant features of the MS in Data Science from NYU is the curriculum. It is a capstone project that makes the theoretical knowledge you gain in the program operational in realistic settings. During the project, you will go through the entire process of solving a real-world problem: from collecting and processing real-world data, to designing the best method to solve the problem, and finally, to implementing a solution.
- Admission:
Considering the popularity of the field of Data Science and because only very high calibre of students go for this; the admission into the Master of Science in Data Science in the NYU is exceptionally competitive.
The curriculum is 36 credits. It offers two ways to structure the graduate program offering students the chance to pursue a specialization through tracks. Students must complete all 36 credits (at least 24 credits in residency), both full-time and part-time within 5 years of enrolling at NYU as an MS in Data Science candidate.
- Tuition fee for an MS in Data Science at NYU
The tuition fee for an MS in Data Science at NYU is $64,768. Well, they have a Scholarship programme under which a candidate can get a discount of $25,000. The scholarship is known as Hausers Global Scholars Program. NYU offers a limited number of education scholarships to certain students admitted to the program.
- Immigration
Get in touch with authentic immigration service provider.
2. Carnegie Mellon University
CMU is one of the finest universities when it comes to Data Science. They offer a master’s program as MS in computational data science. Courses like data bases, algorithms, storage, machine learning and artificial intelligence are talked about. Internships on campus programs help the students to get an idea what the industry wants out of them and how to gain maximum out of it.
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Admission for MS in Data Science in Carnegie Mellon University
Students need GPA scores and NOT converted scores. All applicants are required to take the Graduate Record Examination (GRE) general test and have scores. No application without this score would be considered complete. GRE scores if more than 5 years will not be accepted.
- Tuition fee for an MS in Data Science at Carnegie Mellon University
The tuition fees are high; it’s about $40k per annum. With accommodation expenses it is reasonably priced as it is situated outside Pittsburgh. The cost ranges between100 k to 120 k depending on your lifestyle, for a 2 year MS PROGRAM.
- Immigration
Are you a new student willing to carry out your MS in Data Science from the Carnegie Mellon from overseas? Well, you need to use the Carnegie Mellon DS-2019 or I-20 to submit an application for an entry visa at the United States Embassy or Consulate close your place of habitation.
3. Columbia University
Masters in Data Science at Columbia University is governed by the Data Science Institute. Columbia university needs no introduction and has a good reputation when it comes to its courses and alumni’s. Students who wish to get into the research field of Data Science should definitely aim for Columbia University since the research department here is known for its excellent work. The course holistically has a research approach and does not cover much of business aspects. The attractive part of having admission in Columbia University is the quality of research. Research aspirants should certainly focus on cracking the admission.
- What are the application requirements to apply?
The basic prerequisite for the Master of Science in Data Science program include that, at a minimum, students should have completed either calculus or linear algebra, in addition to experience with a computer programming language (Java, C+, Python, etc.).
- Tuition fee for an MS in Data Science at Columbia University
If you are a candidate looking to strengthen your career prospects by developing in-depth expertise in data science; the Tuition fee to go on with an MS in Data Science at Columbia University is $58,080.
4. University of Virginia
The masters program at the University of Virginia is an 11 months course. The aim is to minimize the study period and the maximum the experience period. The university does so by conducting real time workshops and have tie ups with companies associated with data sciences. The main focus of the university is to get the students the exact industry approach. The university heavily emphasises on the industrial aspect of the course and the placement speaks for itself. Top companies of Data sciences of US recruits’ from university of Virginia every year. The tuition fee of the course is almost equal to the fees of a public university, but the reputation it holds is that of a private university.
- Admission:
Applicants planning to approach for the Master of Science in Data Science program must have an undergraduate degree the starting of the summer term. Applicants with a three-year or four-year undergraduate degree from an accredited institution too are entitled to submit an application.
- Tuition fee for an MS in Data Science at University of Virginia
Tuition fee rates are subject to change every academic year
5. US Berkeley
US Berkeley has recently floated the program in masters in Information and Data Sciences for students who have an inclination towards the industry. The course design is a little different in a way that the students apart from learning the core concepts also focus on policy research and social sciences. Applicants that have a core understanding in Python language are preferred over others. The program can either be finished in 20 months by taking up to two subjects in one semester or in 12 months by taking up to three subjects in one semester, depending on the ease of the students. The course design is fresh and new and is in-sync with the industry requirements.
- Application Requirements
- Online application
- Official records from all educational institutions attended during undergraduate degree
- Graduate Management Admission Test (GMAT) scores or Official Graduate Record Examination (GRE)
- Two professional letters of recommendation
- A working knowledge of fundamental computer science concepts including: algorithms, data structures and analysis of algorithms, and linear algebra
- TOEFL Scores (if applicable)
- Application fee of for domestic applicants and international applicants differ
- Tuition fee for an MS in Data Science at US Berkeley
The total expenses for an intercontinental student with no dependents are around $56,920 for each 12 month duration. This approximation includes the expenditure of tuition and fees, general living costs, books and other school supplies. Living expenses will be raised around $7,000/year if your other half accompanies you, and something like $4,000/year for each child who come with you.
MS in Data Science: Universities in the Germany
6. University of Mannheim
The Master in Data Science program here is an interdisciplinary one, and mutually offered by the University of Mannheim’s Data and Web Science Group, Department of Sociology, Department of Political Science, Institute of Business Informatics, and Institute of Mathematics.
The program principally covers Data Management, Text Mining, Data Mining, Predictive Analytics and Advanced Statistics.
- Admission Requirements:
An undergraduate degree with at least 48 ECTS in data science-related courses is required besides proper English language skills with prior experience in data science. For international students, it is must to have a fluent command of German Language up to level C.
- Tuition fee for an MS in Data Science at University of Mannheim
The Program Length is 24 months (full-time, on campus). About the tuition fees its EU citizens only pay a small amount to cover administration costs. For international students who are not EU citizens; the tuition fee is EUR 1,500 per semester.
7. University of Magdeburg
If you are looking for a reputed university in Germany to carry out your Masters in Data Science consider the University of Magdeburg. The university aims to deliver a very high standard of scientific education that is based on the latest research developments. It as well supports creative individuals who are gifted with critical thoughts.
- Admission:
Applicants who have graduated with a degree in Computer Science or in a similar discipline containing at least 10 CS courses with proof of their German or English skills: level C1.
If you are willing to accelerate your career in data science but don’t have time for full time class; you may choose masters in data science online. Enrol for a data science certification training course in London and get fundamental concepts from top-class instructors.
- Tuition fee for an MS in Data Science at University of Magdeburg
The fees vary.
Jurgen Schmidhuber, Corinna Cortes, Ankur Narang are some of the top data scientists, to draw some inspiration and motivation from. “The hope is that maybe we might require less data to learn good classifiers of objects, because they have this ability of generalizing to unseen perspectives or configurations of images,” said Hugo Larochelle. He heads Google Brain’s research efforts in Montreal.
MS in Data Science: Universities in the Australia
8. Monash University
Monash University in Australia has its own charm, since it’s the second oldest university there. The attracting feature to study at Monash is its location, in the heart of Australia, Melbourne. According to the survey for best universities in 2016-17, Monash University stands on the rank 45. Earlier there were no strict requirements for MS in Data Science but due to heavy applications, it is now following what is Hurdle Requirement Policy. There are different assessments conducted on the basis of which the admission of the applicant is confirmed. The main advantage of studying in Australia is the fact that it is now the most preferred continent for studying due to its vast diversity and low stereotype behaviour towards international students.
- Admission Requirements:
If the applicant has successfully completed the under graduation course, he or she can think of applying at Monash. There are set requirements and cut offs for international student. As for now the fees for the 2 yr MS in Data Science is A$ 36,000. If the applicant has a good knowledge associated with Data Science, the duration can be reduced to 1.5 yr as well.
This is generally a 2 years full-time course but if you have applicable entry qualifications you may get credit and be able to complete the course in 1.5 years or 1 year full-time, or part-time equivalent.
- Tuition fee for an MS in Data Science at Monash University
There is an online tool (calculator) available to compute the applicable fees.
9. University of Queensland
University is Queensland is located in Brisbane, Australia. Before speaking about the course, the USP of the program is the hands on experience that the university provides to the students pursuing MS in Data Science. The university has some good partners in the industry out of which some of them are the sole key players Data Science. It boasts of more than 400 workstations, which include Microsoft, Apple and Linux which is accessible 24 hours. According to the world ranking, University of Queensland stands on 60th rank which makes it a suitable option for international students.
- Admission requirements
The course is structured as a 2 year course with fees of A$ 40,000. A GPA equivalent to 5.0 on a 7 point scale and overall score over 6.5 in IELTS test is essential. Also, Australian student visa is essential to study in the continent.
- Course fees:
As you proceed to enrol for each semester, the fees are calculated.
Fees for all students are reviewed annually in accordance with the University's Student Fees Policy, and may increase from 1 January each year. If you are a prospective student, or if you haven't yet commenced your program, please see the Future Students website for fee information.
MS in Data Science: Universities in the UK
10. MS in Data Science in University of Essex
The course planned emphasizes on linking real-world applications and projects to artificial intelligence techniques. The University of Essex offers a program that is exceedingly helpful for the folks from the finance background. To help you develop skills to use smart devices competently, the study guides you to balance solid theory and practical application.
- Entry requirements
Generally a degree with mid 2.2 in any one of the following subjects: Mathematics, Finance, Operational research, Economics, Computing, Biology, Business Engineering, Statistics, Physics or Chemistry.
Studying data science in the UK increases the chances of employment. It gives a great value to your CV, Getting a high-paying job would be no hassle!
- Tuition fee for an MS in Data Science at University of Essex
If you are an overseas candidate the tuition fee for an MS in Data Science at University of Essex is £16,225.
There are many universities offering masters in Data Sciences; the choice should be done on the basis of what the student wants. Think if you wish to enter the research field or to work in the industry. Make the right choice!
Worried about finance? Don’t panic! There are leading Banks as well NBFCs to offer student-friendly educational loans.
Done with the certification? Work at a Tech Start-Up and get ideas to life. Find out cutting edge skills and move ahead in your career. One extraordinary quote by Dr. Jurgen Schmidhuber one of the leading protagonists in the advancement of machine learning; “Humans should do zero percent of the hard and boring work, computers the rest.”
