The University of Greenwich offers an MSc in Big Data and Business Intelligence, focusing on “skills to contribute to the design and development of big data systems as well as distributed / internet – enabled decision support application software systems”. (https://www.gre.ac.uk/postgraduate-courses/ach/cgbdbi) Sheffield Hallam University offers an MSc in Big Data Analytics, which teaches “industry-leading software including SAS and HaDoop” and gives knowledge of “data storage, data mining and statistical modelling techniques”. (https://www.shu.ac.uk/courses/computing/msc-big-data-analytics/full-time)

Birmingham City University offers an MSc in Big Data Analytics, emphasizing “data mining, big data management and advanced statistics” and “valuable insights, and results such as increased market share, profitability, possible cost savings and procedural efficiency”. (https://www.bcu.ac.uk/courses/big-data-analytics-msc-2020-21) University of Plymouth has an MSc in Data Science and Business Analytics, which imparts learning in “data analytics, computing and business” “using sophisticated analytics techniques, including social network visualisation and sentiment analysis, and professional software, including R tidyverse, Python, C# and SQL/NoSQL”. (https://www.plymouth.ac.uk/courses/postgraduate/msc-data-science-and-business-analytics) University of Derby offers an MSc in Big Data Analytics, which helps in “identifying and obtaining intelligence from the previous commodity of big data are in demand across many sector.” (https://www.derby.ac.uk/postgraduate/computing-courses/big-data-analytics-msc/)

Queen Mary University of London offers an MSc in Big Data Science, which teaches “computer science techniques with modern methods of statistical analysis” such as “statistical data modelling, data visualisation and prediction; machine learning techniques for cluster detection, and automated classification; big data processing techniques for processing massive amounts of data; domain-specific techniques for applying data science to different domains: computer vision, social media analysis, intelligent sensing and internet of things; case-based projects that show the practical application of the skills in real industrial and research scenarios”.   (https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/big-data-science-msc/)

SRH University Heidelberg offers a Master of Science in Big Data and Business Analytics, which focuses on “project planning and implementation in the field of BI Consulting, Business Analytics, Project Engineering and Information Analysis”. (https://www.hochschule-heidelberg.de/en/academics/masterstudium/big-data-and-business-analytics/)

ESCP Business School runs an MSc in Big Data and Business Analytics, which gives “an understanding of the significance of data in today’s business world” and “helps students build the in-demand technical, analytical and communication skills needed to manage large data sets”. (https://www.escp.eu/programmes/specialised-masters-MScs/MSc-in-Big-Data-and-Business-Analytics) IESEG School of Management France offers a Master of Science in Big Data Analytics for Business, which focuses on “business knowledge, the methods and the analytical tools to convert BIG data into BIG insights in marketing, finance and operations”. (https://www.ieseg.fr/en/programs/masters-science/msc-big-data/program/) Letterkenny Institute of Technology has a Master of Science in Big Data Analytics, which focuses on the “processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information”. (https://www.lyit.ie/CourseDetails/D202/LY_KDATA_M/BigDataAnalytics)

Trent University offers an MSc in Big Data Analytics: Applied Modelling and Quantitative Methods, which “emphasizes practical skills in visualization, data mining, cloud – based approaches and parallel programming skills.” https://www.trentu.ca/graduatestudies/programs/course-based-masters-programs/master-science-big-data-analytics-applied-modelling-and) Bay Atlantic University offers an MSc in Big Data Analytics, which is “the program will provide students with frameworks for critically looking at data, interpreting and visualizing data, and applying that knowledge in real-world applications that will shape how 21st century business challenges are addressed.” (https://bau.edu/program/msc-in-big-data-analytics/)

If you are looking for a Masters in the USA take a look at https://www.masterstudies.com/MSc/Big-Data/USA/.

The Data Science Institute at Columbia University has a MS in Data Science which “is jointly offered in collaboration with the Graduate School of Arts and Sciences’ Department of Statistics, and The Fu Foundation School of Engineering and Applied Science’s Department of Computer Science and Department of Industrial Engineering and Operations Research” (https://datascience.columbia.edu/education/programs/m-s-in-data-science/). Harvard University’s Master’s in Data Science is “jointly led by the Computer Science and Statistics faculties and administered through the Institute for Applied Computational Science (IACS), trains students in the rapidly growing field of data science” (https://www.seas.harvard.edu/applied-computation/graduate-programs/masters-data-science). MIT Sloan offers a Masters in Business Analytics. As it says, “Established in conjunction with MIT’s Operations Research Center – an interdisciplinary research center established in 1953– the MBAn program is tailored for current students or recent college graduates who plan to pursue a career in the data science industry, as well as those seeking career advancement or change, especially engineers, mathematicians, physicists, computer programmers, and other high-tech professionals’ (https://mitsloan.mit.edu/master-of-business-analytics#curriculum).

The University of Sydney specifically states that its Master of Data Science is “a quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or other disciplines that are deemed equivalent. As a guideline, the curriculum of a quantitative discipline should include some study of mathematics including statistics at the tertiary level”, (https://www.sydney.edu.au/courses/courses/pc/master-of-data-science.html). Melbourne Institute of Technology offers a Master of Data Analytics (https://www.mit.edu.au/study-with-us/programs/master-data-analytics), while The University of Melbourne offers a Master of Data Science (https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/). Deakin University offers a Master of Data Science (https://www.deakin.edu.au/course/master-data-science). The University of Auckland too offers a Master of Data Science because “The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry” (https://www.auckland.ac.nz/en/study/study-options/find-a-study-option/master-of-data-science-mdats.html).   

]]> https://jntataendowment.org/health-data-science/ Mon, 07 Dec 2020 11:41:08 +0000 http://jntataendowment.org/blog/?p=156 Health Data Science emerges from the intersection of healthcare and data science and with the help of mathematics, statistics, epidemiology and informatics. The current global pandemic has given rise to a strong need for healthcare data scientists who are not only working for the healthcare data but are working on the vaccine also. (https://analyticsindiamag.com/what-does-it-take-to-become-a-healthcare-data-scientist/)

In USA, in general, the duration of this course is one and half years. Harvard T.H. Chan, School of Public Health has a Master of Science in Health Data Science, which gives training in “Statistics, computing and health sciences” and helps students to understand how to “wrangle and transform data to perform meaningful analyses, Visualize and interpret data and effectively communicate results and findings, Apply statistical methods to draw scientific conclusions from data, Utilize statistical models and machine learning, Apply methods for big data to reveal patterns, trends and associations, Employ high – performance scientific computing and software engineering.” (https://www.hsph.harvard.edu/health-data-science/). Carnegie Mellon University has a Master of Science in Health Care Analytics and Information Technology, which focuses on “how to convert raw data into actionable solutions for complex problems facing the health care system and medical firms.” (https://www.heinz.cmu.edu/programs/health-care-analytics-master/) University of South California’s Master of Science in Healthcare Data Science is a “cross – disciplinary joint degree program offered by the Keck School of Medicine and the Viterbi School of Engineering” which helps students to “understand the requirements and techniques to manage health and healthcare process data collected by healthcare providers and organizations (https://viterbigradadmission.usc.edu/programs/masters/msprograms/data-science/ms-in-healthcare-data-science/) The University of Texas offers a Master’s in Health Data Science, which “focuses on management and analysis of health data” and “analyses, interprets and presents health data care data to increase quality, reduces costs and improve operations”. (https://sbmi.uth.edu/applynow/health-data-science-track.htm) University of Michigan has a Health Data Science Concentration, which develops “substantial knowledge of biomedical sciences and public health, big data analytics and computing skills and statistical modeling and analysis.” (https://sph.umich.edu/biostat/programs/health-data-science.html) Duke Trinity College of Arts and Sciences has an MS in Health Data Science, which develops “skills and experience in the basic statistical methodologies as well as computer programming”. (https://stat.duke.edu/ms/ms-focus-areas-tracks/health-datascience)

In the UK, the duration of this course is one year but it is more interesting to see that while delivering the learnings, some universities focuses on the computational solutions to the health care industry, with some maintaining a genomic and epidemiological approach. University College London offers an MSc in Health Data Science, which covers “computational and statistical methods as applied to problems in data-intensive medical research”. (https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/health-data-science-msc) London School of Hygiene and Tropical Medicine offers an MSc in Health Data Science, which teaches to apply “statistical and machine learning approaches to analyse health – related data” and to “acquire the tools and skills to manage very large diverse datasets across healthcare systems”. (https://www.lshtm.ac.uk/study/courses/masters-degrees/health-data-science) Imperial College London has an MSc in Health Data Analytics and Machine Learning, which equips students to “explore emerging ‘Big’ health data, but will also provide extensive experience in their application in a real-life setting in Environmental, Molecular, Cancer, and Computational epidemiology as well as in Population and Health sciences.” (https://www.imperial.ac.uk/study/pg/medicine/health-data-analytics/)  University of Aberdeen runs an MSc in Health Data Science, which enables students in “both healthcare and computational backgrounds to develop their health data science skills, supported by an interdisciplinary team of academics, NHS and industrial partners” and aims to “create innovative, interdisciplinary, data science solutions to the big challenges for health and health care, to improve health for individuals, local communities and globally”.(https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/1230/health-data-science/) Manchester University has an MSc in Health Data Science, which aims “to create a new breed of scientist who can understand the healthcare sector and medicine, how data is collected and analysed, and how this can be communicated to influence various stakeholders.” (https://www.manchester.ac.uk/study/masters/courses/list/10076/msc-health-data-science/course-details/#course-profile)  University of Birmingham runs an MSc in Health Data Science, which gives knowledge of areas such as “clinical bioinformatics, health informatics, epidemiology, clinical systems, patient-focused systems, bioinformatics and omics analytics”. (https://www.birmingham.ac.uk/postgraduate/courses/taught/med/health-data-science.aspx) Swansea University runs an MSc in Health Data Science in which students can learn how to process the data “concerning the health of human beings are developed” and also how to “extract valuable information about a population (epidemiological applications) has the potential to improve quality of life on a large scale.”  (https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science/) University of Exeter has an MSc in Health Data Science, which focuses on “health services research and modelling, and stratified medicine, including genomics”.  (https://www.exeter.ac.uk/postgraduate/courses/medicine/healthdatasciencemsc/)

University of Bordeaux has Master of Science in Public Health Data Science, which focuses on “epidemiology, informatics and statistics”.  (https://www.u-bordeaux.com/Education/Study-offer/Masters-in-English/Public-Health-Data-Science) UIC Barcelona offers Master’s degree in Health Data Science, which helps to “gain the ability to analyse healthcare data for research and management purposes using the most advanced techniques (data mining, business analytics, machine learning, deep learning, etc.).” Students will also get an opportunity to use “different types of statistical software” such as “R, SQL, Phyton, Power BI, Hadoop, NoSQL, etc. to provide solutions and help in intelligent decision-making based on the data and improve health among the population.” (https://www.uic.es/en/studies-uic/health/masters-degree-health-data-science/presentation).

The University of New South Wales Sydney, Centre for Big Data Research in Health offers a Master of Science in Health Data Science, which covers “comprehension of complex health issues, through data wrangling and management, machine learning and data mining, data analytics, data modelling and communication including data visualisation.” (https://cbdrh.med.unsw.edu.au/postgraduate-coursework)

Massey University, New Zealand, offers a Master of Analytics (Health), which equips students the skill “to turn data into information that can be used to make policy and business decisions within health-related industries”.  (https://www.massey.ac.nz/massey/learning/programme-course/programme.cfm?prog_id=93537&major_code=PHLTH#)

Another University in New Zealand, Eastern Institute of Technology’s MSc in Health and Medical Data Analytics   (HMDA) focuses on data applications by which students can apply their academic knowledge for a concrete business product. (https://degree-programmes.eithealth.eu/msc-health-and-medical-data-analytics-hmda/)

UCL offers a Computational Statistics and Machine Learning MSc which “teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision” (http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/computational-statistics-machine-learning-msc). The University of Oxford offers an MSc in Applied Statistics which “has a particular focus on modern computationally-intensive methods and their use in the analysis of data” (http://www.ox.ac.uk/admissions/graduate/courses/msc-applied-statistics).

The University of Edinburgh’s Institute for Adaptive and Neural Computation offers a course in Machine Learning (http://www.anc.ed.ac.uk/machine-learning).

The Faculty of Science at The University of Alberta offers an MSc or PhD in Statistical machine Learning, which “may be taken jointly in the Department of Computing Science and in the Department of Mathematical and Statistical Sciences. The program emphasizes the theoretical aspects of the design and analysis of machine learning algorithms using tools of statistics and computer science” (https://uofa.ualberta.ca/computing-science/graduate-studies/programs-and-admissions/statistical-machine-learning).

Students may look up New York University and Princeton as both offer a variety of programmes in this area. Or Statistical Machine Learning at University of California, Berkeley (http://www.stat.berkeley.edu/~statlearning/).

The Department of Computer Science at the University College of London offers an MSc in Machine Learning as “a unique programme that introduces students to the computational, mathematical and business views of machine learning. The programme is led and taught by world renowned researchers from the Department of Computer Science and the Gatsby Computational Neuroscience Unit” ((http://www.cs.ucl.ac.uk/degrees/msc_ml/).

The University of Cambridge offers an MPhil in Machine Learning, Speech and Language Technology, “taught from within our Information Engineering Division”. “The course aims: to teach the state of the art in machine learning, speech and language processing; to give students the skills and expertise necessary to take leading roles in industry; to equip students with the research skills necessary for doctoral study” (http://www.graduate.study.cam.ac.uk/courses/directory/egegmpmsl). The University of Bristol offers an MSc Advanced Computing – Machine Learning, Data Mining and High-Performance Computing which is “concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art Artificial Intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments, and provide intelligent decision support” (http://www.bristol.ac.uk/study/postgraduate/2016/eng/msc-adv-computing-machine-learning/).

The KTH Royal Institute of Technology, Stockholm, offers an MSc Machine Learning. According to them, “Machine Learning is a scientific discipline focused on the development of algorithms that spot patterns or make predictions from empirical data” (http://www.mastersportal.eu/studies/14874/machine-learning.html).

The MS in Machine Learning at Carnegie Mellon is part of CMU’s Machine Learning Department, which is made up of a multi-disciplinary team of faculty and students across several academic departments. (https://www.ml.cmu.edu/prospective-students/ms-in-machine-learning.html). Columbia University’s “Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications. Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas” (http://www.cs.columbia.edu/education/ms/machineLearning). The Ohio State University offers a Masters in Applied Computer Engineering. In their own words, “Applied Machine Learning utilizes a variety of learning mechanisms for particular tasks; many of our research groups use machine learning to accomplish tasks in speech and language processing, computer vision, and data mining. While algorithmic development is a part of the process, significant effort is spent in developing task-specific representations for machine learning processes, particularly utilizing cognitive, physiological, or perceptual constraints in design” (https://cse.osu.edu/research/applied-machine-learning). Students should take a look at New York University’s several courses (http://cs.nyu.edu/home/courses/) offered through its Department of Computer Science.

The Human Computer Interaction Institute at the Carnegie Mellon University offers a Masters of Human-Computer Interaction. It says: “MHCI graduates often rave about the real-world experience they gain through our capstone project course. Working in teams of four to six, students collaborate with an industry sponsor to innovate, improve or modify a new or existing human-to-machine technology (https://www.hcii.cmu.edu/academics/mhci).

The MS-HCI Degree Program at Georgia Tech “provides students with the practical skills and theoretical understandings they need to become leaders in the design, implementation, and evaluation of the next generation of human-computer interfaces (http://mshci.gatech.edu/).

College of Information Studies, University of Maryland offers a MS in Human-Computer Interaction “provides the opportunity for advanced, systematic study of how to design, evaluate, and implement new information technologies that are understandable, usable, and appealing to a wide variety of people. The major objectives of the program are to prepare students to become human-computer interaction (HCI) leaders in industry and government, or to enable them to be successful in doctoral work in a particular specialization of HCI (http://ischool.umd.edu/hcim)”. It also offers a Masters in Human-Centered Computing (http://informationsystems.umbc.edu/home/graduate-programs/master-of-science-programs/master-of-science-in-human-centered-computing-hcc/).

The UC Berkeley offers a range of options through “through three venues: the Computer Science Division in the College of Engineering, the School of Information, and the Berkeley Center for New Media”, (http://hci.berkeley.edu/).

The HCI Group at the University of Illinois at Urbana Champaign offers a programme through its Department of Computer Science (http://hci.cs.illinois.edu/).

The University College of London Interaction Centre offers a Masters of Human-Computer Interaction which “draws on a wide range of disciplines that introduces graduates to the problems, knowledge and practice of HCI and ergonomics” (https://www.ucl.ac.uk/uclic/studying/taught-courses/masters-of-science). City University, London offers a Human Computer Interaction Design which aims to arm students “with the latest research, theories and techniques in Human-Computer Interaction (HCI), User Experience (UX), usability and interaction design – thoroughly preparing you for a career in user-centred design or user research” (https://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design).

The Master’s Programme in Human Computer Interaction and Social Media at Umea University “is intended for students who want to help influence the way interaction between people and information technology (IT) develops. The programme focuses on the analysis and design of interactions between people and IT across a wide spectrum of usage situations”, (http://www.umu.se/english/education/courses-and-programmes/programme?code=SADSM).

The Bauhaus-Universität Weimar in Germany offers an MSc in Human Computer Interaction (https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/human-computer-interaction-msc/).

Whatever be the nomenclature, the last two decades have seen an enormous amount of work in AI. Interested students may read George Zarkadakis’ book ‘In our own image’ to gauge the extent and kind of work related to AI. Wherever you study, you will see the course as inherently multi-disciplinary, although the emphasis and orientation differ quite a bit.

The University of Edinburgh offers an MSc in Artificial intelligence, offering an option of full-time and part-time courses (http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=107). In its own words, “Our research draws on neuroscience, cognitive science, linguistics, computer science, mathematics, statistics and psychology to span knowledge representation and reasoning, the study of brain processes and artificial learning systems, computer vision, mobile and assembly robotics, music perception and visualisation”. The Imperial College, London, offers an MSc in Computing (Artificial intelligence) which “focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours” (https://www.imperial.ac.uk/study/pg/computing/artificial-intelligence/).

The Institute for Artificial Intelligence at the University of Georgia offers an MS programme as an interdisciplinary approach: “Areas of specialization include automated reasoning, cognitive modeling, neural networks, genetic algorithms, expert databases, expert systems, knowledge representation, logic programming, and natural-language processing. Microelectronics and robotics were added in 2000”. (http://www.ai.uga.edu/content/ms-artificial-intelligence). The Department of Computer Science, Cornell University offers a Masters in AI with different research groups (https://www.cs.cornell.edu/research/ai).   Many universities in Canada offers Masters in various areas grouped under AI (http://www.canadian-universities.net/Universities/Programs/Graduate-Studies-Artificial_Intelligence.html).

The University of Amsterdam offers an MSc in Artificial Intelligence with a seemingly practical focus: “Artificial Intelligence (AI) is a field that develops intelligent algorithms and machines. Examples include: self-driving cars, smart cameras, surveillance systems, robotic manufacturing, machine translations, internet searches, and product recommendations. Modern AI often involves self-learning systems that are trained on massive amounts of data (“Big Data”), and/or interacting intelligent agents that perform distributed reasoning and computation. AI connects sensors with algorithms and human-computer interfaces, and extends itself into large networks of devices” (http://gss.uva.nl/future-msc-students/information-sciences/content26/artificial-intelligence.html). The University of Groningen offers a Masters in AI with these core topics – “autonomous perceptive systems, cognitive robotics and multi-agent systems” (http://www.rug.nl/masters/artificial-intelligence/). The Australian National University offers a Master of Computing (Artificial Intelligence) (http://www.australianuniversities.com.au/course/the-australian-national-university/master-of-computing-artificial-intelligence/345/6204/australia/d/anu-345/).

Some universities combine data science with innovation as there is the growing recognition that innovation should be guided by analysis of relevant data. There are some who make the link between data science and computational intelligence. Some offer a programme in big data science. Some call in Business Analytics where the focus is more practical than academic.

City University London offers an MSc in Data Science, with a focus on research supported by links with industry. (https://www.city.ac.uk/courses/postgraduate/data-science-msc)

UTS Sydney offers a Master of Data Science and Innovation as a two-year full-time or a four-year part-time course. It claims to follow a transdisciplinary approach to enable students to convert their knowledge into practice.  (http://www.uts.edu.au/future-students/find-a-course/courses/c04293)

Coventry University in the UK offers an MSc Data Science and Computational Intelligence. It says that “The course has a carefully designed set of options that allows the individual to customise their programme of study according to their preferences, strengths and future plans”. (http://www.coventry.ac.uk/course-structure/2014/faculty-of-engineering-and-computing/postgraduate/data-science-and-computational-intelligence-msc/)

Queen Mary University of London offers a one-year MSc in Big Data Science. This course focuses on machine learning and IT tools such as cloud computing and Hadoop

(http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/121386.html).

Imperial College Business School offers an MSc in Business Analytics which focuses on helping students make business decisions, using the latest academic thinking and analytical tools (http://wwwf.imperial.ac.uk/business-school/programmes/msc-business-analytics/).

Data Science Central, an online resources, has published its list of top five courses in the US – Harvard Data Science Course, UC Berkeley: Master of Information and Data Science, Stanford University: Master of Science in Statistics: Data Science, Carnegie Mellon University: Master of Information Systems Management and North Carolina State University: Master of Science in Analytics (http://www.datasciencecentral.com/profiles/blogs/top-five-data-science-masters-programs).