Best Data Science graduate certificate programs - Updated 2019

Prior knowledge in statistics and basic programming is recommended for this certificate. If you do not have a strong background in statistics, start with an introductory statistics course, such as STAT E-100 before beginning this certificate. The Data Science Certificate will be difficult for students with no prior knowledge of Python. If you do not have a background in programming, you should consider first taking CSCI E-7. You may wish to consider Harvard University Programming Certificate. To meet the requirements for the certificate, you must:. The professional graduate certificate in Data Science requires four courses:. Students who started coursework in Summer 2017 or before may choose to continue with the previous certificate configuration (three electives and one required course). Students have three years from the date of their first course to complete the certificate. Courses taken before the 2013–14 academic year do not toward this certificate. If you’re also considering a master’s degree, select certificate courses can be counted toward a related degree field of study. Start or advance a career as a web developer with the web technologies certificate at Harvard Extension School. Harvard University Enrollment Services team can answer questions Harvard University graduate certificates. Number of courses for this certificate. (You may complete all .). Cost of completing the certificate courses, at 2018–19 tuition rates. Number of years, on average, it takes to complete this certificate. You may take up to three years.

Courses applied toward or graduate degrees at other institutions (non-JHU) are not eligible for transfer or double counting to a Data Science master degree or post-master certificate. Up to two graduate courses taken outside of JHU after an degree was conferred and not applied toward a graduate or other degree may be considered toward the Data Science master degree subject to advisor approval. You must meet the general admission requirements that pertain to all post master certificate candidates. Coursework should have included coursework comparable to at least three of the four required courses in both the Computer Science area and the Applied and Computational Mathematics area, respectively. 625.603 Statistical Methods and Data Analysis may not be applied to the post-master certificate. One graduate course taken outside of JHU and not applied toward a graduate or other degree may be considered toward the Data Science Post-Master’s Certificate, subject to advisor approval. or above can be counted toward the post-master’s certificate. Applicants whose prior education does not include the prerequisites listed under Admission Requirements may still be admitted under provisional status, followed by full admission once they have completed the missing prerequisites. All prerequisite courses beyond calculus are available at Johns Hopkins Engineering. These courses do not count toward the degree or certificate requirements. Post-Master Certificate: Gainful Employment Title-IV Eligibility: Johns Hopkins University Graduate Certificate Program Disclosure for Data Science.

For students and professionals seeking to build math and analysis proficiency, the Math for Data Science post-baccalaureate certificate program is designed to strengthen their quantitative background for graduate school or to enhance their data analysis skills for their careers. Consisting of courses in applied mathematics, statistics, and calculus, the program provides students with a quantitative foundation for data analysis—a critical skillset that is applicable to a wide range of industries.

Improve and maintain programming exercises across a number of data science certificate programs. As Cornell University’s online learning unit, eCornell delivers online professional certificate courses to individuals and organizations around the world. Students learn in an interactive, small-class format to gain skills they can immediately in their organizations, while earning a professional certificate from Cornell University. eCornell has offered online learning courses and certificate programs for 15 years to over 130,000 students at than 2,000 companies and is rapidly expanding its portfolio of offerings. Want to add a Cornell Certificate to my resume.

The Data Science Initiative offers a Doctoral Certificate available to enrolled students pursuing doctorates at Brown. Participants will gain a fundamental understanding of the methods and algorithms of data science, through study of relevant topics in mathematics, statistics and computer science, including machine learning, data mining, visualization, and data management. The program will also provide experience in important, frontline data science problems in a variety of fields, and introduce students to ethical and societal considerations surrounding data science and its applications. This rigorous knowledge will position them for high-level and leadership placement in academic and industrial arenas where data science plays a key role. PhD students who enter the certificate program will be required to have completed at least a year of calculus (at the level of MATH 0090 0100), a semester of linear algebra (at the level of MATH 0520), a semester of calculus-based probability and statistics (at the level of APMA 0650), and an introduction to programming (at the level of CSCI 0150 or 0170). Because of the integrative character of the program, we look to accept students from a variety of backgrounds and disciplines. Prospective applicants who lack one or of the prerequisites may contact the graduate studies director for help with discussing options for fulfilling them. The graduate specialization certificate is comprised of three courses and 5 credits in total:.

Georgetown’s Certificate in Data Science prepares you with the technical and analytical skills required to collect, clean, model, and present data. As a student, you’ll use the Python programming language and industry standard tools to help create and present data analytics, predictive models, and visualizations. Throughout the program, you’ll also hone your communications skills and learn strategies for effective data presentation.

The M.S. in Data Science is a program that may be completed in as little as one year of study, or at a student own pace. Prerequisites for the M.S. in Data Science include a bachelor’s degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor’s degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program. The courses in the certificate, upon successful completion with a grade of B or better and admission to the M.S. in Data Science, may be transferred to M.S. in Data Science program. The Certificate in Data Science is intended for students who possess a Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) field, but who lack sufficient background in Data Science to be admitted to the Master of Science in Data Science. The Certificate in Data Science requires five courses, including:.

The overarching goal of the Graduate Data Science Certificate Program is to train a cadre of skillful data scientists with significant multidisciplinary knowledge, broad analytical skills and agile technological abilities. The program emphasizes the practice of modeling using modern technology to handle large, incongruent, and heterogeneous collections of data. The Graduate Certificate for Data Science is approved by the Rackham School for Graduate Studies. The program provides interactive data-centered training and involves 9 credits of courses and 3 credits of experiential training that require a written report on data analytics. The Graduate Data Science Certificate Program is open for enrollment on a rolling basis. U-M graduate students from any field are eligible to enroll. Merit-based top-off fellowships may be provided. Minority and underrepresented students are strongly encouraged to enroll and complete the program. Students are encouraged to take classes outside the student’s core degree program department. Completion of the program is expected in 2-4 semesters. The Graduate Data Science Certificate Program aims to provide core experiences in:. Graduate students interested in enrolling in the MIDAS Data Science Graduate Certificate Program are encouraged to review the Prerequisites and complete the Graduate Data Science Readiness Self-Assessment Pretest. NOTE: The Graduate Data Science Certificate Program is only open to U-M students currently enrolled in a graduate degree-granting program.

Skills in Data Science are in high demand in both industry and academia. Familiarity with these analytic tools gives the certificate-holder a competitive advantage as a job candidate, and also enables efficient and productive research. The short courses offered by the Data Science Initiative form a basic foundation in modern tools and techniques. Graduate Division will award students who complete all requirements with a certificate in Data Science. The Data Science certificate generally avoids overlap with curriculum in existing classes, but rather builds practical skills which are not well-represented in available academic courses. The only prerequisite is some familiarity with a programming language such as python, R, java, matlab, etc. After completing an initial workshop, UCI graduate students can enroll in the certificate program here.

Graduate Certificate Program College: Behavioral Social Sciences. In the program, students receive technical training collect, manipulate, and analyze data to answer a research question. With its unique focus on surveys, this data science program provides students with the skills and knowledge necessary to successfully lead projects and efforts that involve data from both surveys and non-traditional Big Data sources. Students obtain a certificate by completing nine (9) credits of required courses and three (3) credits of electives. It is expected that students do this in two years or less. The courses are fully online and come from the growing catalog of courses offered through the Master of Professional Studies in Survey and Data Science. Fundamentals of Survey and Data Science, Post-Baccalaureate Certificate (P.B.C.).