Data Science via Study Centres 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
Harness new forms of data with increasingly powerful computer techniques. Gain the technical and practical skills to analyse big data. Study a unique course developed according to the needs of the employment sector.
Overview
This developed Data Science course will provide you with the technical and practical skills to analyse big data that is key to success in future business, digital media and science. Study industry-specific topics and specialise in areas such as data mining, machine learning, data analytics, and visualisation.
Why us?
- The college operates a significant range of training programmes for IT professionals already engaged in the industry and has extremely close ties with the Myanmar Computer Professionals Association (MCPA) and Myanmar Computer Federation (MCF)
- The college has a long term relationship with Pearson/Edexel for the provision of the BTEC Higher National Diploma in Computing and Systems Development. This is an ongoing partnership which commenced in 2012
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 methods include written reports and research papers, practical assignments and the Masters project.
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.
- Computing Masters Project (60 credits)
Develop a practical deliverable and investigate an area of academic research through the support of a sponsor for example: an IT strategy; an investigative study; a technically challenging artefact (e.g. a feasibility study, design, implementation, re-engineered solution); or undertake a theoretical review based on a novel research question (provided by a research active member of staff). Underpin the project with a literature review that is a conceptual framework of your study – a systematic synthesis of concepts, assumptions, expectations, beliefs, and theories that supports and informs your research.
Career ready
The speed at which individuals, businesses, organisations and governments are generating data is increasing at an unprecedented rate. Feedback from employers suggest that there is a significant skills gap in Data Science – there is a need for skilled professionals to make sense of the huge amount of data being generated.
Employability
The MSc in Data Science seeks to develop graduates who will become proficient data scientists with the technical knowledge base and skills set to master the complex problems and complex data requirements emanating from Big Data. The course will enable graduates to utilise the constantly changing and evolving modern technologies that continuously reshape the way digital interaction and communication takes place.
thr tuition is yet to be determined.
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)
0
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.