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Yocket’s Grad School Finder is tool specially designed for Yocket users. You can enter your prefered course, academic details, exam results, essay and extra curricular ratings and get a specially curated list of universities for your profile.Read More
Our developers here at Yocket have worked especially hard to come up with this feature. We use big data and artificial intelligence to help predict the chances of you getting an admit from a university for a particular course. You can use this feature along with our grad school finder or click on the course of your choice on the University’s review page!Read More
This feature can be used to compare two or more universities. It displays comparisons based on Cost of studying, Scholarships, Weather, Location, Ranking, and so much more!!.Read More
Given is a set of universities, third parties and government institutions that offer scholarship opportunities to international students wanting to pursue their studies abroad.Read More
The Undergrad College Finder is a great way to commence your journey to your dream University for your Bachelors. You just have to enter your Test Scores (SAT/ACT scores, average of your scores in High School) and fill your Academic Profile (name of the Board and latest Institute attended) and thereafter get a specially curated list of the 12 Universities for your profile, classified under Ambitious, Target & Safe.Read More
Northeastern University is a private research Institution located in Boston, Massachusetts, started in 1898. It’s a popular university option for many international students. Most of the courses offered by this university are highly rated, and we believe that this has a lot to do with its strategic location. It ranks #202 according to U.S. News' 'Best Global Universities Ranking' list.
Total tuition fee for 30 credits
The MS in Data Science at Northeastern University, Boston is a government-designated STEM degree and so international students may be eligible for the 24-month F1 OPT (optional practical training) extension.
BASED ON PAST YOCKETERS ADMITTED
The Master of Science in Data Science delivers a comprehensive framework for processing, modeling, analyzing, and reasoning about data. Through experiential learning, students are exposed to the realworld challenges of implementing data science techniques to solve meaningful problems and effectively communicate with data. Interdisciplinary program between the College of Computer and Information Science and the Department of Electrical and Computer Engineering in the College of Engineering Courses are tailored toward technically or mathematically trained students.
Elective courses are available from seven colleges throughout the University, including D'AmoreMcKim School of Business, the College of Arts, Media and Design, and the College of Social Sciences and Humanities. The Master of Science in Data Science curriculum requires five core courses that jointly represent the essential technical skills in data science:
Eligibility and Application Requirements
Job Prospects and Placements for Data Science at Northeastern University, Boston
Experiential learning at CCIS integrates professional work experience into your Master’s degree education. Whether you are changing careers, seeking to deepen your expertise, or are an international student pursuing a new path, our programs will enhance your classroom studies, advance your career, and help you grow intellectually, personally, and professionally. The graduate level co-op program is a voluntary experiential learning option available to students who meet eligibility requirements. It supports full-time students enrolled in Computer Science, Data Science, Health Informatics, Health Data Analytics, or Cyber Security master’s degree programs. There are three primary components to the CCIS graduate co-op process: preparation, job search, and work experience. For the purposes of eligibility, internships and cooperative education are treated as a co-op and not considered separate experiences. The co-op process also includes successful completion of the Graduate Cooperative Education Seminar (CS6949), as well as clearance meetings with your co-op coordinator and abiding by all co-op policies.