Data Science And Artificial Intelligence Msc – Our transformative MSc in Data Science program offers an excellent solution for graduates from various academic and professional backgrounds who wish to acquire skills in data science, data analytics, data management or data governance.
Data is called “the oil of the digital economy” (Wired), and is critical to every organization in every industry and at every level. Hence, there are plenty of opportunities for skilled graduates who specialize in data science.
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Designed in collaboration with industry partners and funded by the Office for Students (OfS), our new transformative MA in Data Science program places particular emphasis on problem-based learning and offers modules designed to support your career goals and aspirations. Program content focuses not only on fundamental data science, but also on design thinking and innovation, data management, ethics and data analytics.
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This unique MSc offers an excellent solution for graduates who wish to gain the skills to support their career aspirations in data science, taking on roles in data analysis, management and governance. It is suitable for industry students, including those coming from management, leadership and information management positions who want to gain the skills to enter the world of data science. The program also attracts graduates in science and social sciences (eg criminology, economics, public health and psychology), biology (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who want to learn how to analyze: data or who want to understand the world of data science from a business perspective.
The program is designed for students who do not have a first degree in computer science (those who want to may want to consider our MSc Artificial Intelligence or our MSc Advanced Computer Science). However, we will consider applications on their own merits, so we encourage everyone to get in touch.
Among the jobs we expect graduates of this program to do are roles in analytics engineering, big data engineering and business intelligence, as well as data architects, data analysts, data scientists and statisticians.
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As a student in the Department of Computer Science, you will have exclusive 24-hour access to our computer labs, including a dedicated MSc computer science lab supported by a team of systems specialists and a dedicated artificial intelligence (AI) and machine learning lab. work. . You will also gain insights from the cutting-edge research of our academic team and be part of a rich, research-active community that engages staff, students and visitors from around the world.
Loughborough University is part of the national #JoinYourAIFuture recruitment programme, funded by the OfS. The OfS is the independent regulator of higher education in England.
You can now apply for a partial conversion to TheMSc Data Science programme. This is designed to allow students to complete two modules per semester, and will give students extra time to study the taught material and complete their assessments. The part-time version modules run alongside the full-time programme. This provides a high degree of flexibility for our part-time students to undertake more modules where possible; do fewer modules if they want to extend the length of their programmes.
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Designed in collaboration with industry partners and funded by the Office for Students (OfS), our new MSc in Data Science is a transformative MSc designed for students with a first degree in a subject other than computer science who want to improve. your career in data science.
The following information is one example and is generally based on module information for the 2022/23 entry year. Modules are reviewed annually and may be subject to change. Updated program and module specifications are provided before each academic year. See also study conditions for more information.
The aim of this module is to introduce students to Data Science, the discipline of investigating research questions using data. The module presents the challenges of Data Science in a contextual and integrated way, and aims to develop skills to understand different types and sources of data, as well as the types of questions that can be investigated using data .
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This module aims to introduce basic programming concepts using relevant programming languages such as Python and/or R with a focus on data description, summarization and visualization.
The objectives of the module are: Planning, supervision and control of data management and the use of data and data-related resources. Knowledge and application of legal frameworks relating to the use, sharing and re-use of data. Identify ethical issues and make decisions about ethical dilemmas. Awareness of organizational, national and international contexts related to data, privacy and ethics.
This module introduces the use of statistical models to summarize and predict data using the R or Python programming language and R packages.
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This module aims to provide students with a strong background in artificial intelligence and big data concepts and terminology. The module will provide students with the knowledge and experience needed to explain complex concepts to a non-technical audience. It will give students a good understanding of information management and big data with examples from different industries and disciplines. The module will expose students to real-world applications of artificial intelligence and big data and provide an overview of available software and tools that can be used for AI and big data analysis tasks.
The aim of this module is to provide students with knowledge and experience of modern machine learning techniques suitable for solving various challenges using real-world datasets. With an understanding of machine learning concepts and techniques, students will be able to prepare data, design machine learning models, and evaluate those models using appropriate evaluation tools.
This module aims to introduce basic data mining concepts and techniques, including data pre-processing, feature engineering, clustering and classification. This module will provide students with knowledge and experience in using data mining tools and techniques to identify patterns in data for practical applications.
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The aim of this module is for students to have knowledge and understanding of the basic principles and practices of human-centred design and how it can be applied in the design of useful, desirable data-based services and usable.
The aim of this module is to give students an opportunity to demonstrate their knowledge of the skills in Data Science gained in previous modules of their MSc in Data Science course. Students will achieve a high level of understanding in the subject area and produce a written thesis that examines their research with depth and academic rigor.
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You will be assessed through a combination of exams, coursework and class presentations, as well as a thesis on an agreed topic.
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Our entry requirements are listed using the standard UK undergraduate classes, ie. First Class Honours, Second Upper Honors and Lower Second Class Honours. To learn the equivalent for your country, select it from the drop-down list.
Students must have a bachelor’s degree (4 years) to be admitted to postgraduate study. The University uses the Shanghai Academic Ranking of World Universities to determine the required final grade as shown in the table below:
Applicants from colleges in the top 250 in Shanghai will be considered if they have achieved final grades of 75%-84% or are likely to achieve final grades.
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Applicants from colleges affiliated with universities ranked 251-500 in the Shanghai Rankings will be considered if they have achieved or are likely to achieve 80%-87% of final grades.
Applicants from colleges affiliated with universities above 500 in the Shanghai Ranking will be considered as follows:
The university will give special consideration to applicants from a small number of universities in China who are leading in business, management, finance or the creative arts. A full list of these universities and the Shanghai Band under which they will be judged can be found below:
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*Special consideration for the programs of the School of Sport, Exercise and Health Sciences and Institute of Sports Business only.
Students who do not meet the above requirements may be considered from time to time if they have an appropriate degree, good grades in relevant subjects and/or relevant work experience.
The stated fee applies to a full-time student engaged in a 180-credit master’s program. Part-time or graduate or postgraduate students must divide the published fee by 180 credits and then multiply it by the number of credits earned to calculate their tuition.
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Our Computer Science Department is committed to helping you develop the skills and attributes you need to succeed in your chosen career.
Our students have successfully completed internships at Heineken (sustainability data designer and data analyst, revenue management data scientist) and as data scientists at Health Data Research UK, NHS, Computacenter, JMAN Group and Amygda labs Ltd.
Collecting, processing, interpreting and evaluating data and information is essential in today’s world, and as our technological capabilities increase, so will the application of data science. This master’s program will give you the skills of a data scientist, enabling you to work in a variety of roles across industries.
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