… This article is a follow-up to my list of best data science undergraduate courses. With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection. If you have any questions about the degree programme or admissions then please contact a member of the MLDS Support Team via ml-online-msc@imperial.ac.uk. Topics of study include big data management, analytic algorithms, and data visualization techniques. Applications will be considered for the programme based on the entry requirements, which will need to be met, but also the strength of the supporting statement plus other work or relevant experience. Structure. Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution. If upon graduation you intend to pursue a PhD or apply for employment which requires a master-level degree beyond 90 ECTS credits, we encourage you to investigate whether this programme meets your academic and/or professional needs before applying. Over the two years of coursework, you complete twelve modules, including a research portfolio. University of Helsinki – Masters Degree in Data Science. For 2021–22 entry, Imperial are introducing an application processing fee for MSc and MRes courses to help cover some of the administrative and staffing costs associated with processing the large volume of applications that Imperial receives. Applications of Machine Learning and Data Science are now pervasive in a wide variety of businesses looking to use data … Students will also have the opportunity to broaden their horizons by participating in a programme-spanning module, the first of its kind, in ethics of machine learning and AI transparency, covering techniques to offset potential limitations and biases introduced by machine learning. This course specializes in "data science with a computational focus," so could be considered more theoretical than a business-focused Master's, with courses covering advanced software development for scientists and engineers, multi-core computing, and statistical theory. Students must take the assigned number of modules per term following the schedule below: Note: Ethics module is split into 3 parts (T1,T3,T5). Yes, under the guidance of faculty advisors, you will be working with groups of fellow learners engaged in similar projects as you. These will be scheduled in advance to help you plan your study time around your other commitments. International students, in particular, should also recognise the need to be proficient in English at the start of the course, hence the College's English language requirement. The Machine Learning and Data Science master’s degree is a fully online degree part-time programme, delivered and structured over two-years, with three terms per academic year. The online Machine Learning and Data Science MSc will hold it’s online ‘induction’ each year during the month of September. If your interest isn't technical but business-oriented, there are also MBA courses appearing with specializations in AI that may be worth considering. The programme is designed in a way to allow learners to independently study for the majority of the programme, watching teaching sessions and returning to them around their daily schedule. Outside of this there will be scheduled sessions and webinars where you will have access to Faculty staff who will instruct and support your learning. You will need to apply online directly with Imperial College London by registering and applying for the programme via https://imperialuk.elluciancrmrecruit.com/Apply/. We also accept a wide variety of international qualifications. Machine Learning Online Short Course; Apply Now. As a data scientist, you will learn to extract valuable insight from one of the most important resources today - data. Unlike other master’s in data science programmes that teach Machine Learning with a computer science focus, this degree prepares students with the mathematical and statistical theory needed to truly understand machine learning, as well as the practical skills to deal with real world applications that they need to be successful in their careers. A Data Science masters is best positioned for someone who is interested in furthering their data science career, or interested in building or expanding skills in machine learning, cluster analysis, databases, data visualization, statistics, data … Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. Master of Science in Machine Learning Curriculum The Master of Science in Machine Learningoffers students with a Bachelor's degree the opportunity to improve their training with advanced study in … This requires a commitment to a sustained period of intensive work right from the start. Frequently ranked among the world's top 10 universities, this flexible program is offered through the business school as either a one-year, full-time course or a two-year part-time course that can be studied remotely. The programme will train students in the mathematical, computational, and statistical foundations of machine learning, giving them the ability to critique data analysis and implement scalable machine learning solutions. Imperial, ranked #10 in the world by Times Higher Education (2020 World University Ranking), is home to numerous eminent world-class researchers in machine learning, many of which will be contributing to this programme. Carnegie Mellon – Master of Computational Data Science. As an Imperial graduate, you will join 200,000 alumni in an influential global community. Studying here, you'll be standing on the shoulders of giants such as Herbert Simon and Allen Newell – two of the great pioneers of modern-day AI development. Study the mathematical, computational, and statistical foundations of machine learning, and pioneer new research into today’s most pressing scientific and technological problems. You may opt-out by. Find out more about English language requirements for postgraduate study.• We can process your application more quickly if you upload scanned copies of the academic transcripts and certificates for the higher education qualifications you already hold when you apply.• If you receive an offer we may ask you to provide evidence of your previous qualifications as part of the conditions of your offer. This MicroMasters® program in Statistics and Data Science … For this reason the College requires a high academic standard of those seeking admission. University of Toronto – Master of Science in Applied Computing: Data Science. Students also have the chance to complete part of the course at a work placement as well as train to act in a consulting capacity on data science matters in business. These two terms are often thrown around together but should not be mistaken for synonyms. © 2021 Forbes Media LLC. English Proficiency requirements are set at the Higher requirement with an IELTS score of 7.0 overall (minimum 6.5 in all elements). Data Science Graduate Program Participate in research and further … An academic reference could be from, for example: Coursework will enable students to develop an in-depth understanding of the theories behind machine learning methods, alongside invaluable practical skills in Python and R to solve real world problems. Students working towards the MSc in applied computing at this leading Canadian technical university can focus on this data science track. It will provide students with a solid foundation in data science and machine learning, and computing … Website. If you have any questions about the admissions process or the programme, please do not hesitate to ask via ml-online-msc@imperial.ac.uk. All candidates must demonstrate a minimum level of English language proficiency for admission to the College. I actually lied in the title — gasp, I didn’t take a master’s degree in Machine Learning.It was in Computer Vision, Machine Learning, and Space … A course focused on practical applications of data and machine learning, from one of the world's leading technology schools, would be a great place to start your advanced level education in this field. Join a booming, in-demand field with a Master’s degree in Machine Learning and Data Science from one of the top 10 universities in the world. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College. The modules are scheduled to take place each term according to a fixed schedule. UND is fully accredited by the Higher Learning Commission.