Applied Data Science MSc
Postgraduate Certificate / Master's Degree
The total service fee for this program:
€ 499
Pre payment for this program:
€ 99
Due to the impossibility of foreign currency payments for users residing in Iran, if you are applying for study admission in this program, before pressing the ‘Apply NOW‘ button, contact the support through the Call button below and after To get your suitable solution, proceed to upload the required documents.
This program has OFFER event
Discount event for this program
Mie exceptional discounts
The amount of discount for this event
100 €
The total service fee for this program after discount:
€ 399
ABOUT
Join this fast-growing area of computer science. Study the fundamentals of data science, data mining and machine learning. Undertake a placement and put your new skills into practice.
Overview
The UK Government has identified a huge shortage of specialists in data science and artificial intelligence. The University of Sunderland is looking for a new generation of idealists, visionaries and problem solvers to help business, industry and government make the right decisions in our increasingly complex and uncertain world.
This course is designed for students who have computing, STEM experience or prior experience in working with data (e.g. statistics), to gain the knowledge and skills required to work in data science or data analytics in the real world. We want you to bring your background with you, whether you graduated in Psychology, Business, Geography or Law. We are looking for people who ask questions, who don’t jump to conclusions, and who respond with caution. We want people who are able to find and communicate the best possible solutions.
On this course, you’ll study subjects including the fundamentals of data science, data mining, machine learning, data analytics and visualisation, and security of big data. In addition, you’ll have the opportunity to undertake a placement (subject to availability) and put your skills into practice, enhancing your employability. You can find your own placements or develop professional practice projects, working in our Digital Incubator or research-based projects with one of our academic research teams.
This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to be productive and effective when you go out into the workplace.
Why us?
- The course includes practical experience throughout, enabling you to transfer your new skills to industry
- This conversion course could allow you to change the direction of your career, enabling you to gain a qualification in a new area
- There is a strong employability focus with strong links with companies in the region, and our modules are created in collaboration with employers so you graduate with the key skills and knowledge to make an immediate impact in your career
- The course is 100% coursework-based with no exams
- Sunderland was named Smart City of the Year 2020 (Digital Leaders UK). Boasting the second-fastest growth in digital turnover outside of London, Sunderland is the ideal city to study computing and set up a business
Course structure
We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups, seminars, tutorials and practical laboratory sessions. Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working.
Assessment is 100% coursework-based with no exams. Methods include written reports and research papers, practical assignments and the Masters project.
Placements
The MSc in Applied Data Science provides an opportunity to undertake a placement related to data science and helping students develop their skills, turning theory into practice.
Modules on this course include:
- Data Science Fundamentals (30 credits)
Learn how to use different types of data and understand how to fuse more than one dataset together. Apply a full range of traditional and intelligent analytics to a variety of datasets and make use of modern data science / big data platforms and languages. Cover techniques and tools for presenting and visualisation.
- Data Science Product Development (30 credits)
Learn how to design and develop a data science product to solve a challenging real world problem, based on a systemic literature review on state of the art data science software technologies and project development methodologies, prototyping the product with end users’ evaluations. Produce a project summary report.
- Machine Learning and Data Analytics (30 credits)
Study three interrelated subjects: machine learning, data mining, and data analytics including relevant professional, ethical, social and legal aspects. Focus on information and knowledge management, problems with data, approaches to selection of data analytics tools, principles of modelling and simulation, and operations research. Examine the trends, tools, and current developments in the area of machine learning, data mining and data analytics and their practical applications
- Technology Management for Organisations (30 credits)
Learn to apply the principles, policies and procedures of cybersecurity and data science to provide resilient and robust organisational solutions for secure and valuable information. Develop techniques and use tools that will enable you to undertake critical analysis of the challenges and opportunities of using cybersecurity to mitigate and manage risk to data and enable business continuity in the case of data breaches. Develop a critical understanding of governance, standards, audit, assurance and review in order to evaluate the challenges in managing technology.
Facilities
Study in a vibrant and supporting environment with state-of-the-art facilities and excellent learning resources. We are also an accredited cisco academy and have two laboratories packed with cisco networking equipment.
Career ready
Businesses and industries across the UK have identified a skills gap in data science and currently the role of a Data Scientist is one of the highest paid jobs in the computing discipline.
Employability
Progress in some of the most attractive fields and industries, including government agencies, high technology companies, consulting and market research firms. Benefit from the University’s close links with businesses and employers in the North East and join an industry-driven programme.
Professional practice placement
This course provides you with the opportunity to undertake professional practice by either undertaking a placement in an industry organisation (subject to availability) or undertaking professional or relevant, research-based practice work.
The placement will allow you to develop your research, knowledge and technical skills, and will improve your interpersonal, team working and project management skills, boosting your academic performance and future employability prospects.
We cannot guarantee external placements for all students but will support you in securing these and will offer professional or research-based practice projects if an industrial placement is not possible.
Entry requirements
We usually require applicants to hold an honours degree (2:2 or above) or equivalent in a computing or related non-computing discipline (mathematics, statistics, engineering) or an honours degree (2:1 or above) in relevant non-computing or related degree (degree which has numeracy included and/or application of big data as a significant theme).
If English is not your first language you should have at least one of the following qualifications (or equivalent) as a minimum.
International English Language Testing System (IELTS)
You need an overall score of 6.0, with at least 5.5 or higher in each component: reading, writing, listening and speaking. An alternative approved Secure English Language Test (SELT) will also be accepted if the applicant’s element scores are equivalent to those required for IELTS. After 6 April 2015, you must take your IELTS exams at one of the test centres listed on the UKVI website.
Pearson Test of English Academic
You need an overall score of 59 with no less than 59 in each skill.
Cambridge Certificate of Proficiency in English (CPE)
You need grade C or above.
Cambridge Certification in Advanced English (CAE)
You need grade C or above.
Deadlines
26 January 2022 – UCAS deadline
Applications for all UCAS Undergraduate courses, except those with a 15 October deadline, should arrive at UCAS by 6pm on 26 January 2022. This is the ‘equal consideration’ deadline, which means course providers must consider all applications received by this time equally.
25 February 2022 – UCAS Extra opens
If you’ve used all five choices, and you’re not holding any offers, you can add another choice using Extra.
19 May 2022 – University decision deadline
If you applied by 26 January and you’re still awaiting a decision from one of your choices, we have until today to decide whether we’re making you an offer. Any choices that are still outstanding after this will be made unsuccessful.
9 June 2022 – Deadline to reply to offers
If you receive all your university decisions by 19 May, you must reply to any offers by today (except if you are using Extra to find a place), otherwise they’ll be declined.
30 June 2022 – Final day to make an application to five universities
You can still apply with up to five choices until 6pm today. After this, your application will automatically be entered into Clearing.
4 July 2022 – Final day to apply for a course in Extra
This is the last day to add an Extra option to your 2022 application. If you don’t hold any offers after this, you will be able to add an additional choice using Clearing.
FREE VISA SERVICE
One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request
Expenses (GBP)
16000
Application Fee
0
Program expenses
University & General Expenses
accommodation
The university offers three different student residential buildings, all of which are within walking distance from the university campuses. All students that are residing in these buildings can take advantage of the free transport that the university offers. What is more, all the dorms are equipped with facilities like fridge, Shower, toilet facilities, Wi-Fi, bed Wardrobe, Washbasin and mirror, as well as car parking and bicycle storage.
The first student residence of the university is called Scotia Quay that costs up to £95.50 per week. Each room is suitable for up to 5 students. the second one is named Panns Bank costs about £77.79 a week and is also suitable for families of four. Lastly, Clanny House also costs around £77.79 per week and is suitable for couples as well as single students.
After Graduation
All the students have the opportunity to seek help from The Careers and Employability Service, a team dedicated to helping students find proper and suitable employment either during or after their education.
Students are encouraged to take on part-time vocational roles in order to gain perspective on the reality of the labor market and also earn extra cash. As a matter of fact, the university helps and guides them during this process. It helps students find part-time jobs that do not impact their studies or temporary jobs that can be done during vacations and breaks. Students also have the chance to take part in paid or unpaid internships and job placements that are related to their field of study.
The Careers and Employability Service also helps students with finding employment after graduation. They help students with the resumes, CVs, job applications and job interviews.