• University of Derby Online Learning Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • Northumbria University Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University of Hertfordshire Featured Masters Courses
University of Cambridge Featured Masters Courses
Cranfield University Featured Masters Courses
Southampton Solent University Featured Masters Courses
Newcastle University Featured Masters Courses
"systems" AND "science"×
0 miles

Masters Degrees (Systems Science)

We have 2,608 Masters Degrees (Systems Science)

  • "systems" AND "science" ×
  • clear all
Showing 1 to 15 of 2,608
Order by 
The systems science program emphasizes the complementary use of mathematical, computational and heuristic approaches to solving systems problems. Read more
The systems science program emphasizes the complementary use of mathematical, computational and heuristic approaches to solving systems problems. Students learn to analyze assumptions under which various methods are applicable with the aim of selecting methods that best fit the problem. The program emphasizes learning through classes that deal with systems modeling and simulation, systems analysis and synthesis, and the various problems associated with the simplification of overly complex systems to make them manageable, and includes such research areas as fuzzy logic; data analysis and knowledge discovery; uncertainty theories; generalized information theory; soft computing; intelligent control and robotics; decision making; and complex systems.

Recent doctoral graduate placements include: Industrial Engineer for Best Buy, Industrial Engineer for IBM Corporation, Assistant Professor at Middle East University (Jordan), Industrial Engineer for North Shore-LIJ Health System.

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- For PhD candidates, an MS in engineering or related field is desirable, but does not preclude admission for exceptional applicants
- Two letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form (PDF)
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

Read less
This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches. Read more

This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.

What does this master’s programme entail?

The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.

Read more about our Computer Science programme.

Why study Computer Science at Leiden University?

  • Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others: Bioinformatics and Life Sciences, Medicine, Pharma, Physics, Engineering Applications, Logistics Applications, Energy and Utility related Applications and Financial Applications.
  • You will benefit from our diverse collaborations and the possibilities for internships and projects with our partners such as BMW, ING and Strukton.
  • You have ample of opportunities to assemble your own study path: an individually tailored programme will be designed for each student.

Find more reasons to choose Computer Science at Leiden University.

Computer Science: the right master’s programme for you?

The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.

Read more about the entry requirements for Computer Science.

Specialisations



Read less
Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science. Read more

Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science.

The MSc will take you between two and two and half years of full-time study or up to four years part time. In the first year of your MSc you'll take several courses related to your specialist subject area. Next, you'll carry out in-depth supervised research for 12–15 months and write a thesis. During your studies you might also author publications for peer-reviewed journals.

To do an MSc you'll need a Bachelor's degree in an appropriate field, with an average grade of B+ or higher in your subject area. You may also be able to qualify for entry if you have appropriate work or other experience.

Range of Master's programmes

Choose to complete this Master's programme or one of the specialist science Master's programmes. Most specialist programmes are 180 points and don't require a thesis.

If you have already done a BSc(Hons) you can apply to go directly into the 120-point MSc by thesis.

Available subjects

Workload

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.



Read less
The cell is the building block of life, the smallest unit with the molecular characteristics of living systems. Increased knowledge of the mechanisms of the biomolecular and biochemical processes in the cell can lead to better medicines, new methods for combating diseases. Read more

The cell is the building block of life, the smallest unit with the molecular characteristics of living systems. Increased knowledge of the mechanisms of the biomolecular and biochemical processes in the cell can lead to better medicines, new methods for combating diseases.

What does this master’s programme entail?

The basis of the two-year master’s programme in Life Science and Technology is formed by research carried out in the life sciences and chemistry groups of the Leiden Institute of Chemistry (LIC). Researchers take a science-based approach in finding tailored solutions for complex societal problems as encountered in personalized medicine, systems biology and sustainable use of biological sources. Starting from day one, and during the whole master programme you are a member of a research team in the LIC. Guided by a personal mentor, the student assembles a tailor-made educational programme for optimal training to become a life sciences professional.

Read more about our Life Science and Technology programme.

Why study Life Science and Technology at Leiden University?

  • You can design your own tailor-made programme adjusted to your own interests and ambitions related to Life Sciences, biomedicine and Chemical Biology.
  • You have the possibility to be part of research training projects within the Faculty of Science, Leiden University Medical Center, Netherlands Cancer Institute, Erasmus Medical Center or abroad.
  • You will receive personal guidance by a mentor of choice, who is a member of one of our international and young research groups.

Find more reasons to study Life Science and Technology at Leiden University.

Life Science and Technology: the right master’s programme for you?

If you are interested in Life Science and you are looking for a programme with ample of opportunities to assemble your own study path, our Life Science and Technology programme is the right choice. The programme addresses societal problems on a molecular and cellular level. You can also choose a specialisation where you combine one year of Life Science and Technology research with one year of training in business, communication or education.

Read more about the entry requirements for Life Science and Technology.

Specialisations



Read less
Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science. Read more

Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science.

The MSc by thesis will take you between 12 and 15 months to complete. You'll carry out in-depth supervised research and write a thesis. During your studies you might also author publications for peer-reviewed journals.

To do an MSc by thesis you'll need an Honours degree or postgraduate diploma in an appropriate field, with an average grade of B+ or higher in your subject area.

Available subjects

Workload

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.



Read less
IN BRIEF. Enjoy excellent job prospects in the growing field of science communication. This course is delivered in partnership with industry giving you the opportunity to tap into world-class professional networks. Read more

IN BRIEF:

  • Enjoy excellent job prospects in the growing field of science communication
  • This course is delivered in partnership with industry giving you the opportunity to tap into world-class professional networks
  • Access to state of the art MediaCityUK facilities during the course residential
  • A part-time only course
  • Based at MediaCityUK
  • International students can apply

COURSE SUMMARY

Over the last 25 years, science communication has expanded from a field of public intellectuals, celebrity scientists, broadcast media professionals and event producers to a global industry of ground-breaking artists, games developers, disruptive creators, radical curators, social entrepreneurs and citizen scientists. Developed in partnership with industry, this part-time, distance learning course will provide you with the knowledge and skills required to take advantage of excellent job prospects in this growing field.

Studying this MSc will provide you with the opportunity to accelerate your career and become part of a worldwide community which is pushing the boundaries of science communication through new and emerging technologies. You will gain practical and transferable skills informed by theory, a creative portfolio and access to world-class professional networks to progress your career in science communication. You will become mindful of the ethical challenges that new communication systems might pose to achieving sustainable development goals for health and wellbeing, gender equality and communities.

Through a selection of specifically designed modules, you will learn about the importance of involving the public in the co-creation of citizen science projects, explore the increasing trend of locating science within festivals, examine how art and science come together to innovate, and explore digital storytelling strategies for communicating science. Additionally, you will investigate how science writing and journalism has changed in a digital era, and focus on contemporary matters of global concern in science communication. All modules aim for you to develop and enhance your public portfolio through a range of creative projects.

Science communication is an expanding field and, as such, there are many exciting career prospects working in science journalism, public engagement, events production, science publishing and within the media, to name a few. Our academics have strong networks in the field and, as the course is delivered in collaboration with industry experts and professional science communicators, you can be sure that the skills and knowledge you gain are those you need to forge a successful career in the field and stay ahead of the curve. This course aims to bridge the #scicomm digital skills gap in an era where digital fluency, critical thinking, and creative innovation make professionals stand out from the crowd.

COURSE DETAILS

This science communication masters focuses on the areas of communication, media management, public engagement, emerging technologies, global challenges, digital literacy and creative practice.

Features  

  • Course content reflects and connects your needs with industry trends  
  • Digital skills and emerging technologies focus  
  • Become part of a global learning community  
  • Connectivity and access to world-class facilities  
  • Co-delivery with industry practitioners  

Benefits

  • Learn alongside cutting edge researcher-practitioners  
  • Secure a global competitive edge and excellent employment prospects  
  • Gain real world, practical and problem solving experience  
  • Create a portfolio to showcase and help secure future work  
  • Access to a national and international peer and industry network

SCHOLARSHIPS AND BURSARIES

We offer awards to help you study through our:

  • Vice-Chancellor's Excellence Scholarship
  • University of Salford student loyalty discount
  • Country bursary scheme for International students only

There are also other sources of funding available to you.

For more information please see our funding section.

EMPLOYABILITY

This science communication MSc is designed to equip the modern science communicator with the practical skills and theoretical grounding to carry out science communication, public engagement and policy roles in a wide range of institutions, from Universities to science festivals, museums and galleries to research funders, science and health charities, NGOs and science businesses spanning education, entertainment, PR/ advocacy and sustainable development.

Science communication professionals contribute to a wide range of industries including:

  • Media and creative industries;  
  • Science centres and museums;
  • Science education and outreach;
  • Research councils and policymaking.

Graduates could undertake roles (within these sectors and others) such as:

  • Broadcast, Media and Entertainment;
  • Science Journalism;
  • Science Advocacy;
  • Professional Consultancy;
  • Public Relations;
  • Science publishing;
  • Public Engagement; 
  • Public Involvement and Impact; 
  • Knowledge Exchange;
  • Museum education, exhibition and curation;
  • Events production, management.


Read less
Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. Read more

About Computer Science

Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. in Computer Science are specialists in at least one field of computer science who have wide-ranging science-based methodological expertise.
Graduates are able to define, autonomously and comprehensively, computer science problems and their applications, structure them and build abstract models. Moreover, they are able to define and implement solutions that are at the state of the art of technology and science.

Features

– A broad, international and relevant selection of courses
– As a student, you will work on cutting-edge research projects
– Individual guidance in small learning groups
– Excellent enterprise relations maintained by the chairs and institutes
– Numerous partnerships with universities throughout the world, including a double degree programme with the Institut national des sciences appliquées de Lyon (INSA)

Syllabus

The programme offers the following five focus modules:
1) Algorithms and Mathematical Modelling
2) Programming and Software Systems
3) Information and Communication Systems
4) Intelligent Technical Systems
5) IT Security and Reliability
1) Algorithms and Mathematical Modelling: This module teaches you about determinstic and stochastic algorithms, their implementation, evaluation and optimisation. You will acquire advanced knowledge of computer-based mathematical methods – particularly in the areas of algorithmic algebra and computational stochastics – as well as developing an in-depth expertise in mathematical modelling and complexity analysis of discrete and continuous problems.
2) Programming and Software Systems: This module imparts modern methods for constructing large-scale software systems, as well as creating and using software authoring, analysis and optimisation tools. In this module you will consolidate your knowledge of the various programming paradigms and languages, the structure of language processing systems, and learn to deal with parallelism in program procedures.
3) Information and Communication Systems: In this module you will study the interactions of the classic computer science areas of information systems and computer networks. This focus area represents an answer to the problem of increasing volume and complexity of worldwide information distribution and networks, and for the growing requirements on quality and performance of computer communication. Additionally, you will learn to transfer database results to multimedia data.
4) Intelligent Technical Systems: In this module you are acquainted with digital image and signal processing, embedded systems and applications of intelligent technical systems in industrial and assistance systems, which are necessary for production automation and process control, traffic control, medical and building technology. You will learn to develop complex applications using computer systems and deal with topics such as image reconstruction, camera calibration, sensor data fusion and optical measurement technology.
5) IT Security and Reliability: This module group is concerned with security and reliability of IT systems, e.g. in hardware circuitry and communication protocols, as well as complex, networked application systems. To ensure the secure operation of these systems you will learn design methodology, secure architectures and technical implementation of the underlying components.

Language requirements

Unless English is your native language or the language of your secondary or undergraduate education, you should provide an English language certificate at level B2 CEFR, e.g. TOEFL with a minimum score of 567 PBT, 87 iBT or ITP 543 (silver); IELTS starting from 5.5; or an equivalent language certificate.

To facilitate daily life in Germany, it would be beneficial for you to have German language skills at level A1 CEFR (beginner’s level). If you do not have any German skills when starting out on the programme, you will complete a compulsory beginner’s German course during your first year of study.

Read less
This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. Read more
This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. It equips graduates with essential knowledge and skills in the fields of operations, quality, and innovation management.

The programme aims to enhance graduates’ technical and management contribution in various enterprises including manufacturing, financial services, health services, government, and many more. It invites participants from many disciplines: it is suitable for Engineering, Science, Commerce, and Arts graduates who wish to pursue a career in a high-tech environment. This conversion course aspect is of significant interest to students who may wish to change direction from their course of undergraduate study and pursue a new career path that offers them sound employment prospects in a growth area.

The Masters of Applied Science (Enterprise Systems) programme is highly regarded by employers and there has always been a strong demand for our graduates. Graduates of this programme have secured roles in engineering, management and IT in companies such as Accenture, Apple, Boston Scientific, Medtronic, Ingersoll Rand, Pepsi Co. Kerry Group, IBM, Ericsson, Elan and Hewlett Packard.

Key features of the programme include:
• An ethos of innovation
• Engaging teaching methods
• Customised learning programme
• Multidisciplinary approach
• Extensive career opportunities.

Content

You can choose from the following courses. Technology Innovation & Entrepreneurship; Project Management; Applied Innovation; Operations Management; Operations Strategy; Logistics and Transportation; Operations Research; Lean Systems; Quality Systems; Human Reliability; Systems Reliability; Ergonomics; Safety and Risk Management; Regulatory Affairs; Decision Systems & Business Analytics; Information Systems Strategy & Planning.

You will also prepare an industrial based research thesis on a topic to be agreed with an academic supervisor. We will provide some company specific case studies (and industrial mentors) in Med Tech, High Tech and Services organisations.

What some of our employers say

Martin Conroy | Senior Director Medtronic

The Enterprise systems programme at NUI Galway focuses on providing the necessary knowledge to be excellent systems thinkers. Graduates have the ability to understand people; process as well as technology related issues in an organisation. The programme encourages candidates to analyse problems using scientific methods and to generate innovative and effective solutions to these problems. Furthermore graduates are given real skills such as the ability to work in a team and communicate well. Such skills are essential to fast moving high tech companies like ours.

Alan Phelan | CEO Nucleus VP Group

We have engaged and recruited graduates and found them to be great problem solvers and critical thinkers. Their background in lean systems has been very applicable to a number of our companies where they have helped to implement sound systems and processes which have allowed our subsidiaries to scale rapidly.

What some of our graduates say

Paul Gleeson | Accenture

The programme is well delivered as there is a nice balance between practical and classroom based learning. I found the lecturers to be some of the most helpful and engaging people I have come across during my studies as they take a hand on approach to getting students involved in class discussions and debates. All in all, the programme is an excellent foundation for finding future employment opportunities due to the high level of personal and professional development you will obtain. It helped open up numerous career opportunities for me so it is a programme that I would highly recommend.

Sean Hehir | Marvao Medical

With a broad subject choice the Masters of Applied Science at NUI Galway allowed me to tailor the course to focus on the areas of interest to me which also complemented my science degree. Through team-oriented projects I developed better inter-personal skills and grew exponentially both professionally and personally. With a flexible course structure and forward thinking/innovative faculty the degree encourages and inspires entrepreneurship and innovation. The course is very relevant to current industrial practices as I found I had a working knowledge of the medical device industry from day one in my current job.

Paul McCormack | Allergan

I undertook the Masters of Applied Science in NUI Galway with the aim of acquiring new skills and knowledge to aid in my future career progression. The course was challenging and required high standards throughout. While striving to meet these standards I believe I have greatly improved my knowledge of business systems and gained valuable new skills. I believe the lessons learnt during the course will facilitate my personal and professional development into the future.

Wenjing Tang | Ernst and Young

The Master of Applied Science (Enterprise systems) programme offers a variety of multidisciplinary modules, which was a great conversion for me from the pure technical background. The essential knowledge and skills I gained from the course help me to work in different roles, either as a software developer in a technology company or an IT consultant in a financial service company. The programme is a great foundation to pursue wider career path.

Read less
Goal of the pro­gramme. Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Read more

Goal of the pro­gramme

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis.

In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to

  • Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms
  • Apply various computational and statistical methods to analyse scientific and business data
  • Assess the suitability of each method for the purpose of data collection and use
  • Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms
  • Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge
  • Report results in a clear and understandable manner
  • Analyse scientific and industrial data to devise new applications and support decision making.

The MSc programme is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In your applied data science studies you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences.

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through elective studies in the MSc programme, or it might already be part of your bachelor-level degree.

Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

Elective studies give you a wider perspective of Data Science. Your elective studies can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics).



Read less
The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. Read more
The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.

In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:

• Algorithm Theory
• Pattern Recognition
• Databases and Information Systems
• Software Engineering
• Artificial Intelligence
• Computer Architecture

After that, students can specialize in one of the following three areas:

• Cyber-Physical Systems
• Information Systems
• Cognitive Technical Systems

Here are some examples of subjects offered in the three specialization areas:

Cyber-Physical Systems:

• Cyber-Physical Systems – Discrete Models
• Cyber-Physical Systems – Hybrid Control
• Real Time Operation Systems and Reliability
• Verification of Embedded Systems
• Test and Reliability
• Decision Procedures
• Software Design, Modeling and Analysis in UML
• Formal Methods for Java
• Concurrency: Theory and Practice
• Compiler Construction
• Distributed Systems
• Constraint Satisfaction Problems
• Modal Logic
• Peer-to-Peer Networks
• Program Analysis
• Model Driven Engineering

Information Systems:

• Information Retrieval Data Models and Query Languages
• Peer-to-Peer Networks
• Distributed Storage
• Software Design, Modeling and Analysis in UML
• Security in Large-Scale Distributed Enterprises
• Machine Learning
• Efficient Route Planning
• Bioinformatics I
• Bioinformatics II
• Game Theory
• Knowledge Representation
• Distributed Systems

Cognitive Technical Systems:

• Computer Vision I
• Computer Vision II
• Statistical Pattern Recognition
• Mobile Robotics II
• Simulation in Computer Graphics
• Advanced Computer Graphics
• AI Planning
• Game Theory
• Knowledge Representation
• Constraint Satisfaction Problems
• Modal Logic
• Reinforcement Learning
• Machine Learning
• Mobile Robotics I

We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:

• Bioinformatics
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• Economics

In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.

Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc Data Science

The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics

- Data Science Research Methods and Seminars

- Big Data and Data Mining

- Big Data and Machine Learning

- Mathematical Skills for Data Scientists

- Data Visualization

- Human Computer Interaction

- High Performance Computing in C/C++

- Graphics Processor Programming

- Computer Vision and Pattern Recognition

- Modelling and Verification Techniques

- Operating Systems and Architectures

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Career Destinations

- Data Analyst

- Data mining Developer

- Machine Learning Developer

- Visual Analytics Developer

- Visualisation Developer

- Visual Computing Software Developer

- Database Developer

- Data Science Researcher

- Computer Vision Developer

- Medical Computing Developer

- Informatics Developer

- Software Engineer



Read less
The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. Read more

The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. This interdisciplinary Master's programme presents environmental issues and technologies within a systems engineering context. Graduates will understand interactions between the natural environment, people, processes and technologies to develop sustainable solutions.

About this degree

Students will develop an understanding of systems engineering and environmental engineering. Environmental engineering is a multidisciplinary branch of engineering concerned with devising, implementing and managing solutions to protect and restore the environment within an overall framework of sustainable development. Systems engineering is the branch of engineering concerned with the development and management of large complex systems.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), a collaborative environmental systems project (30 credits), two optional modules (30 credits) and an individual environmental systems dissertation (60 credits).

A Postgraduate Diploma (120 credits) is offered.

Core modules

  • Collaborative Environmental Systems Project
  • Environmental Systems
  • Systems Engineering and Management
  • Systems Society and Sustainability
  • Environmental Modelling

Optional modules

Options may include the following:

  • Engineering and International Development
  • Industrial Symbiosis
  • Politics of Climate Change
  • Project Management
  • Water and Wastewater Treatment
  • Urban Flooding and Drainage
  • Offshore and Coastal Engineering
  • Natural and Environmental Disasters
  • Energy Systems Modelling
  • Smart Energy Systems: Theory, Practice and Implementation
  • Indoor Air Quality in Buildings
  • Light, Lighting and Wellbeing in Buildings
  • Building Acoustics
  • Science, Technology and Engineering Advice in Practice
  • Energy Systems and Sustainability
  • Waste and Resource Efficiency

Dissertation/report

All MSc students undertake an independent research project addressing a problem of systems research, design or analysis, which culminates in a dissertation of 10,000 words.

Teaching and learning

The programme is delivered through lectures, seminars, tutorials, laboratory classes and projects. The individual and group projects in the synthesis element involve interaction with industrial partners, giving students real-life experience and contacts for the future. Assessment is through written examination, coursework, presentations, and group and individual projects.

Further information on modules and degree structure is available on the department website: Environmental Systems Engineering MSc

Careers

Career paths for environmental systems engineers are diverse, expanding and challenging, with the pressures of increasing population, desire for improved standards of living and the need to protect the environmental systems. There are local UK and international opportunities in all areas of industry: in government planning and regulation, with regional and municipal authorities, consultants and contracting engineers, research and development organisations, and in education and technology transfer. Example of recent career destinations include Ford, KPMG, EDF Energy, Brookfield Multiplex, and the Thames Tideway Tunnel Project.

Recent career destinations for this degree

  • Air Quality Engineer, National Environment Agency
  • Environmental Engineering Consultant, DOGO
  • Nuclear Analyst, EDF Energy
  • Graduate Flood Risk Engineer, Pell Frischmann
  • Project Manager, Veolia Environmental Services

Employability

The discipline of environmental systems engineering is growing rapidly with international demand for multi-skilled, solutions-focussed professionals who can take an integrated approach to complex problems.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The discipline of environmental systems engineering is growing rapidly with an international demand for multi-skilled professionals who can take an integrated approach to solving complex environmental problems (e.g. urban water systems, technologies to minimise industrial pollution). Environmental engineers work closely with a range of other environmental professionals, and the community.

Skills may be used to:

  • design, construct and operate urban water systems
  • develop and implement cleaner production technologies to minimise industrial pollution
  • recycle waste materials into new products and generate energy
  • evaluate and minimise the environmental impact of engineering projects
  • develop and implement sound environmental management strategies and procedures.

UCL Civil, Environmental & Geomatic Engineering is an energetic and exciting environment in which to explore environmental systems engineering. Students have the advantages of studying in a multi-faculty institution with a long tradition of excellence in teaching and research, situated at the heart of one of the world's greatest cities.

Accreditation

The progamme is accredited by the Joint Boad of Moderators, which is made up of the Institution of Civil Engineers, The Institution of Structural Engineers, the Chartered Institutions of Highways and Transportation, and the Institute of Highway Engineers.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Civil, Environmental & Geomatic Engineering

60% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



Read less
Information drives businesses. Without it, they cease to function. Whether for day-to-day operations or strategic decision-making, there is an imperative to record, manage and use information. Read more
Information drives businesses. Without it, they cease to function. Whether for day-to-day operations or strategic decision-making, there is an imperative to record, manage and use information.

The Master of Business Information Systems (MBIS) prepares you for careers in systems design, planning and management, as well as knowledge and information management. You gain the expertise to design solutions to business information problems, and to offer strategic guidance to organisations that will enhance their management and governance.

As an MBIS graduate, you may find work as a business analyst, systems analyst, consultant, project leader, IT manager, information management specialist, archivist or librarian.

The MBIS caters to students from a variety of backgrounds. If you do not have previous training in IT, the course includes preparatory units that will give you the IT knowledge needed for the remainder of the course. However, if you already have a degree in IT, you can accelerate your study with an exemption from these preparatory units, or perhaps study further elective units in areas of your choice.

The course gives you an opportunity to explore a wide range of areas, from enterprise systems, information systems design, and business intelligence to IT strategy and project management.

If your interests lie in information and knowledge management, you can pursue a specialisation in Archives and Recordkeeping or Librarianship and Information Science, accredited by professional organisations.

In your final semester, you may take part in an Industry Experience program, working in a small team with industry mentors to develop entrepreneurial IT solutions. Or you may undertake a minor-thesis research project, investigating cutting-edge problems in BIS under the supervision of internationally recognised researchers.

High-achieving students who complete the research component may progress to further research study.

The MBIS is accredited with the Australian Computer Society (ACS).

Visit the website http://www.study.monash/courses/find-a-course/2016/business-information-systems-c6003?domestic=true

Overview

The course has a general form and also provides students with the option to specialise in archives and recordkeeping, and library and information science. Students may study the general form, complete either specialisation or combine both specialisations. The specialisations are not available to Malaysia, on-campus students.

Career opportunities

The highly flexible course structure opens up a variety of career opportunities. Graduates of the program will be expected to play leading professional roles in the field locally and overseas.

Please select a specialisation for more details:

Archives and recordkeeping

Records managers and archivists ensure that vital records of social and organisational activity are created, managed and made available to business for accountability, corporate memory, enterprise knowledge and cultural purposes. Work settings include most major private and public sector organisations, and archival institutions. Knowledge managers are concerned with developing strategies and processes for managing organisational knowledge and knowledge flows to achieve organisational goals, enhance performance and add value. A particular concern is developing an environment conducive to the creation, sharing and application of organisational knowledge, and systems that support these processes.

Business information systems studies

The general form of the course gives students the skills and knowledge to solve organisational information problems. The course caters for students who would like to be business analysts, information systems consultants and IT managers. Students will learn about information technology principles, systems analysis and design, enterprise architecture and systems, IT management and governance and project management. Students can select from a range of business information systems units to focus their studies in several areas of interest including business intelligence, user experience design and business process modelling.

Library and information science

Librarians and information specialists manage information and provide information services to clients in a wide range of contexts. They are concerned with analysing information needs, solving information problems, evaluating information sources, organising information, synthesising information into targeted information products, and training clients in the use of information products, services and systems. They work for commercial, government and community sector organisations, for information consultancies and as independent information brokers.

Course Structure

The course is structured in three parts, A, B and C. All students complete Part B (core studies). Depending upon prior qualifications, you may receive credit for Part A (foundation studies) or Part C (advanced studies) or a combination of the two.

Note that if you are eligible for credit for prior studies you may elect not to receive the credit.

PART A. Foundations for advanced business information systems
These units provide an introduction to information systems and business concepts, including system design and analysis as applied in professional practice. You will learn basic software programming and development concepts and database technology.

These units are intended for students whose previous qualification is not in a cognate field.

PART B. Core Master's study
These studies draw on best practices within business information systems to gain critical understanding of the theories and practice relating to information systems and business process design, IT strategy, IT governance, IT management and related issues. Your study will focus on project management as well as a choice of several areas of enterprise IT and information management practice.

PART C. Advanced practice
The focus of these studies is professional or scholarly work in the broad realm of business information systems.

You have two options.

The first is a minor thesis research program, consisting of a research project and a research methods training unit. Students wishing to use this Masters course as a pathway to a higher degree by research should take this first option.

The second option is a program of coursework involving advanced study and an Industry experience studio project.

Students completing the combined specialisation Archives and Recordkeeping/Library and Information Science complete the industry experience program.

Students admitted to the course, who have a recognised honours degree in a discipline cognate to information systems, will receive credit for Part C, however, should they wish to complete a research project as part of the course they should consult with the course coordinator.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/information-technology

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/business-information-systems-c6003?domestic=true#making-the-application

Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

• Our Project Fair allows students to present their work to local industry

• Strong links with industry

• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).



Read less
This course has been designed with industry to meet the challenge of interdependence between sophisticated engineered systems of all kinds. Read more
This course has been designed with industry to meet the challenge of interdependence between sophisticated engineered systems of all kinds. It is often taken in its part-time format.

It is aimed at engineers who have specialised in a traditional discipline but are now expected to understand, operate in, develop and integrate entire systems that are not only increasingly complex but rapidly changing.

The block taught format of the programme and the option to elect assessment by coursework rather than exam makes it a popular part time course and a CPD option.

Core study areas include systems thinking, systems architecture, systems design, verification and validation, and an individual project.

Optional study areas include enterprise systems management, holistic engineering (industry-led module), sensors and actuators for control, imagineering technologies, engineering and management of capability and understanding complexity.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/systems-engineering/

Programme modules

Compulsory Modules:
• Systems Thinking
• Systems Architecture
• Systems Design
• Validation & Verification
• Individual Project

Optional Modules (choose four):
• Enterprise Systems Engineering
• Holistic Engineering (industry-led module)
• Sensors and Actuators for Control
• Imagineering Technologies
• Engineering and Management of Capability
• Understanding Complexity

Block taught, individual modules are also highly suitable as CPD for professional engineers working onsystems engineering projects and challenges.

How you will learn

The curriculum stimulates thinking and extends the capabilities of technical managers and engineers to handle complexity, enabling them to remain effective in the workplace by providing:
- an integrated systems engineering view of inter-related technologies, processes, tools, techniques and their effective use;

- essential systems skills such as model-based systems architecture and design, against a background of the need for traceability in managing complex projects;

- knowledge and technical expertise in a range of systems technologies;

- experience of the importance to ultimate success of effective, integrated, multi-skilled project teams working in extended enterprises beyond the confines of any particular organisation;

- increased depth of technical and management knowledge through elective modules; and

- the ability to transfer systems skills and knowledge into the workplace through the individual master’s project.

Teaching staff comprise a varied skill set of international expertise to give the broadest perspectives and modules frequently feature master classes from industry practitioners.

- Assessment
There is the option to complete without written examinations as all compulsory modules are assessed by coursework. Where examinations are taken these are in January and May.

Facilities

We employ advanced modelling, simulation and interactive visualisation tools and techniques to enable you to gain greater understanding of the performance, behaviour and emergent properties of advanced technology and complex systems.

Many of these facilities are part of the Advanced VR Research Centre ( AVRRC) http://www.lboro.ac.uk/research/avrrc/facilities/

Careers and further study

Graduates of this course gain capabilities that are in global demand across a range of sectors and which can be applied to the challenges and issues posed by any complex system design and operation.

Promotion within their company for sponsored students is common since the course enables them to match higher job expectations and demands. Employed students often bring a work-relevant topic to their individual project giving the opportunity to display newly acquired skills.

Why choose electronic, electrical and systems engineering at Loughborough?

We develop and nurture the world’s top engineering talent to meet the challenges of an increasingly complex world. All of our Masters programmes are accredited by one or more of the following professional bodies: the IET, IMechE, InstMC, Royal Aeronautical Society and the Energy Institute.

We carefully integrate our research and education programmes in order to support the technical and commercial needs of society and to extend the boundaries of current knowledge.

Consequently, our graduates are highly sought after by industry and commerce worldwide, and our programmes are consistently ranked as excellent in student surveys, including the National Student Survey, and independent assessments.

- Facilities
Our facilities are flexible and serve to enable our research and teaching as well as modest preproduction testing for industry.
Our extensive laboratories allow you the opportunity to gain crucial practical skills and experience in some of the latest electrical and electronic experimental facilities and using industry standard software.

- Research
We are passionate about our research and continually strive to strengthen and stimulate our portfolio. We have traditionally built our expertise around the themes of communications, energy and systems, critical areas where technology and engineering impact on modern life.

- Career prospects
90% of our graduates were in employment and/or further study six months after graduating. They go on to work with companies such as Accenture, BAE Systems, E.ON, ESB International, Hewlett Packard, Mitsubishi, Renewable Energy Systems Ltd, Rolls Royce and Siemens AG.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/systems-engineering/

Read less

Show 10 15 30 per page



Cookie Policy    X