#MSinDataScience

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MS In Data Science: Top 10 Programs In US You Can Apply For

The popularity of Master’s programmes in Data Science is skyrocketing in different parts of the world. Recently, we listed five data science master’s programmes in Germany, and we noticed that data science enthusiasts want to know about such programmes in the US as well. In this article, we are going to take a look at some of the programmes and universities from the US that data science enthusiasts can consider. 1.       MS in Statistics - Data Science @ Stanford University This MS programme prepares students to continue on to related doctoral program or as a data science professional in the industry. The course not only helps students gain fundamental data science education but also strong mathematical, statistical, computational and programming skills. Prerequisites: Student should be an advanced undergraduate with a strong mathematics background, especially in probability, statistics and linear algebra Should have proficiency in programming (Java, C++) Fundamental courses in mathematics and computing may be needed Duration: 1.25 years (5 quarters) Fee: Click here to know in detail about the fee structure. Apple Here. 2.       Master Of Science In Data Science (MSDS) @ University Of Washington The MSDS course at the University of Washington is designed in such a way that students can gain immense knowledge of the domain and advance their career in data science domain. The course train students on extracting valuable insights from big data, statistical modelling, data management, machine learning, data visualization, software engineering, research design, data ethics, and user experience to meet the growing needs of industry. Also, the programme comes in both part-time and full-time form. MSDS alumni work at top companies in the world. To know about the base salary a graduate of this course gets, click here. Click here to know more about the curriculum. Duration: 1.5 years Fee: Not mentioned Note: Students with an F-1 visa must enrol in the full-time program Apply Here. 3.       Master of Science in Analytics @ Georgetown University This programme help students gain solid knowledge in data analytics fundamentals and then add skills in visualization, big data computing, and machine learning. Upon completion of this course, students can not only go for a PhD but can also pursue careers in fields including business intelligence, precision medicine, policy analytics, finance, marketing, online banking, big data infrastructure, and education. Prerequisites: Candidate should ideally have degrees with a significant mathematical or statistical emphasis A minimum undergraduate GPA of 3.0 (on a 4.0 scale) is required  Should have strong knowledge of Multivariable calculus, linear algebra, calculus-based statistics, computer programming, data structures, and algorithm analysis and design. Applicants are expected to be proficient with programming languages such R and Python To know about GRE/TOEFL/IELTS, click here Duration: 16 Months (Ideally) Fee: Not Mentioned Apply Here. 4.       Master Of Science In Analytics @ University of Chicago This master’s programme educates students on cutting-edge analytical models. It also allows the students to take a deeper look at the analytics domain and figure out new ways of using it to explore complex questions. Further, this course offers dedicated guidance to students on their career journey, from internships to full-time positions, through a variety of resources. Prerequisites: For professionals: A bachelor's degree or its equivalent Two years or more of relevant work experience in fields like information technology, computer science, mathematics, and statistics For Freshers: Must have been conferred a bachelor's degree by the time the program starts No minimum score requirement for GRE/GMAT GPA – 3.0 or above Duration: 1.25 years (5 quarters) to 1.5 years (6 quarters) Fee: Click here to know the complete fee structure. Apply Here. 5.       Master of Science in Data Science (MSDS)@ University Of San Francisco This programme focuses on the mathematical and computational techniques in the emerging field of data science. It also makes sure that students get a theoretical and practical understanding of many classical and modern statistical modelling and machine learning techniques. Further, the course is curated in such a way that students get a clear view of how to solve some of the most complex business problems. The university also claims that last year, 97% of the graduates got placed in some of the giant companies. Prerequisites: Candidate should hold a bachelor's degree in any field Should have strong knowledge of inferential statistics, linear algebra  Should have strong computer programming skills - Java, Python or C++ GRE General or GMAT score report is required. TOEFL or any other language exam score is required for International Student. (USF school code for GRE and TOEFL is 4850, and 91M-3X-08 for GMAT.) Duration: Click here to know about the programme duration. Fee: Not Mentioned Apply Here. 6.       Master's in Business Analytics @ University Of Colorado This  STEM-designated MS Business Analytics degree is solely focused on helping students gain in-depth knowledge and experience capturing and analyzing data sets, and analyze data sets to deliver actionable, impactful business insights to decision-makers. Further, there are three different ways to obtain — on-campus, online, certificate program. Prerequisites: The selection committee selects students based on a set of criteria. To know about the prerequisites, click here. Duration: 10 Months Fee: Not Mentioned Apply Here. 7.       MS In data science—residential @ Indiana University Bloomington This residential M.S. in Data Science program is located on the Indiana University’s Bloomington campus. The course focuses on helping students develop an interdisciplinary approach to data science, and allow them to work collaboratively with scholars and experts. Furthermore, it also allows students to understand the real-world challenges that local and global communities, organizations, and citizens face. Prerequisites: The candidate should have a four-year bachelor’s degree or its equivalent from another country Note: International students need to provide official documentation showing of degree Should have strong knowledge of mathematical and statistical principles Experience with data structures and algorithms Experience with object-oriented programming like C, C++, and/or Java Duration: Not mentioned Fee: Click here to know about the structure Apply Here. 8.       Master of Science in Data Science @ Columbia University, New York This 30-credit MS in Data Science program offers students in-depth training in data science. It also provides a great opportunity for students to work closely with diverse Columbia faculty members as well as industry affiliates. Prerequisites: Should have a bachelor’s degree Should have strong knowledge of Python, Java, R, C++, etc. Should also have knowledge of calculus, linear algebra, etc. Applicants are also required to submit their official (GRE) general test scores and international students' should submit TOEFL, IELTS or PTE test scores Duration: 30 Credit Hours Fee: about $60,540. Click here to know more. Apply Here. 9.       Master of Science in Analytics (MSA) @ Louisiana State University The MS course at LSU is offered by the Stephenson Department of Entrepreneurship & Information Systems (SDEIS). It focuses on the use of business analytics, business intelligence, and information technology to solve problems, reduce costs, increase revenues, streamline processes, and improve decision-making. Prerequisites: According to the official website of the university, there are no prerequisites required to apply Duration: 3 semesters Fee: $17,000 for Louisiana residents and $38,300 for non-residents Apply Here. 10.   MS in Data Science @ University Of Virginia This MS programme focuses on meeting the growing demand for skilful, agile data scientists. The curriculum created in such a way that about 80% of the material is common to all students. Further, many complicated and large data sets are woven across courses to increase the program’s cohesion. And students will consistently work together in teams, building strong relationships and practical skills in the process.  Prerequisites: The institution expects to have students who have just finished their degrees and students who have been working professionals and are returning to school. Talking about TOEFL, it has not been made public For GRE, there is no predetermined minimum required score Duration: 11 Months Fee: Click here to know about the fee structure.  Read the full article

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Top 5 Data Science Master’s Programmes In Germany

Data science domain over the years has invaded most industries across the globe. The rise of data science and related technologies is so significant that universities across the world have started offering Master’s programmes in Data Science. Germany is one such nation that has become really popular for the MS courses it provides for the data science enthusiasts. Even on knowledge sharing platforms like Quora and Reddit, questions regarding MS in Data Science in Germany are trending. In this article, we are going to take a look at five universities in Germany that are considered to be really good options for those who want to get an MS degree in data science.  1. Data Engineering and Analytics @ Technical University Of Munich Established in 1868, Technical University Of Munich (TUM) is one of the best institutions in Germany. The university provides MS - Data Engineering and Analytics, and MS - Mathematics in Data Science. Data Engineering and Analytics course is divided into Data Analysis, Data Engineering and Analytics, and Data Engineering. The course is designed in such a way that it would not only allow the student/graduates to design and plan industry-grade solutions but also creates a solid starting point for ventures into research. To know more about the curriculum, click here. Prerequisites: The candidate should have a bachelor's degree in Informatics or Mathematics with a minor Informatics (or similar) Should have skills in Informatics, especially foundations of Informatics and programming of algorithms and databases Proficiency in English is a must Duration: 4 Semesters Fee: Click here to more in detail about the fee Apply Here. 2. Mathematics in Data Science @ Technical University Of Munich In parallel to the Data Engineering and Analytics MS course, the department of mathematics at TUM has also created a program called "Mathematics in Data Science". Just like the other one, this course also has the same core of foundations and focuses on the informatics and mathematical aspects of Big Data. To know more about the curriculum, click here. Prerequisites: The candidate should have a bachelor's degree in Informatics or Mathematics  Should have skills in Informatics, especially foundations of Informatics and programming of algorithms and databases Proficiency in English is a must. To know about the GRE and Language requirements, click here. Duration: 4 Semesters Fee: Click here to know more about the fee structure 3. Data and Knowledge Engineering @ University Of Magdeburg The University of Magdeburg is another famous institution in Germany. The data science MS program called the Data and Knowledge Engineering is considered to be one of the best at present. The course is designed in such a way that the candidate not only gains theoretical knowledge but also gains knowledge of the application of machine learning, data mining, and warehousing. To know more about the curriculum, click here. Prerequisites: Bachelor’s degree in Computer Science or a closely related field Duration of the Bachelor degree must be at least 3 years (six semesters) The degree must contain 1 course on Databases and either 10 courses in CS or 6 courses in CS and 4 courses in applied statistics Proficiency in English is a must Duration: 4 Semesters Fee: Not mentioned Apply Here. 4. Mannheim Master in Data Science @ University of Mannheim University of Mannheim (UMA) is a public research university. The institution provides the Mannheim Master in Data Science program which provides students to gain immense knowledge of this interdisciplinary domain — from collecting, organising, analysing, and visualising large amounts of data using the appropriate tools and methods. Students also get the advantage of attending courses offered by the interdisciplinary Data and Web Science research group at the University of Mannheim.  Prerequisites: Should have a bachelor’s degree in Informatics, Mathematics, or a related field Should be very proficient in English. (Click here for more info on the language requirement) Should be interested in IT and programming, Should have a good understanding of statistics and mathematics Duration: 4 semesters Fee: €174.90 (semester fee). Click here to know more clearly about the fee structure. Apply Here. 5. Master Of Data Science @ Technical University Of Dortmund This data science MS program at TU Dortmund offers different core and elective modules. Also, the selection of modules can be made from a wide range of different courses according to the individual interests of the student. This course focuses on helping students become capable of doing scientific research, have a scientific awareness and can trade it responsibly. It would also help them build the ability to communicate about methods and their application. Prerequisites: A bachelor's degree in "data science" or "data analysis and data management" of the TU Dortmund or a degree of at least 3 years in the fields of statistics, computer science or mathematics at a German university. Note: Contact the International Office for application and enrollment in a master's degree if you have obtained a bachelor's degree outside Germany.  Proof of competence in the English language is required Click Here for more information about the requirements. (Translate the page to English.) Duration: 4 Semesters Fee: Not Mentioned Read the full article