How Much Time It Takes to Learn Big Data Hadoop
Skip to content
MSc
Big Data Analytics
Develop the skills to become a talented data scientist with experience of using industry-standard software and technologies.
Everything you need to know...
What is the fee? Home: £8,745 for the course without a placement or £9,945 with a placement
International/EU: £14,895 or £16,095 (with work experience) for the course
How long will I study? 1 Year / 2 Years
Where will I study? City Campus
When do I start? September 2022
January 2023
Placement year available? Yes
Course summary
- Learn to use industry-leading software including SAS and HaDoop.
- Gain hands-on knowledge of data storage, data mining and statistical modelling techniques.
- Study aspects related to the distribution and integration of data with emphasis on the business context.
- Have the opportunity to work abroad — with the possibility of funding through the Erasmus+ programme (until 2023) or the Turing Scheme.
- Prepare for jobs with salaries ranging from £35,000–£80,000.
Big data analysis is essential for companies to understand their customers better, develop new products and cut operational costs. This course has been developed in consultation with our industry contacts to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. This course offers a two year work experience route including a placement of up to 12 months.
Come to an open day
Find out more at our postgraduate open days. Book now for your place.
Learn more
How you learn
Your lecturer's view
All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.
This course explores statistics, computing and management to help you develop the skills and expertise needed by a data scientist. You learn about data analytics (including statistical modelling and data mining), systems development (including big data and distributed systems), data integration, how data is stored and utilised, and the core skills around professionalism and research.
Our partnerships with business inform the course design, ensuring the content is relevant, up-to-date and meets the needs of industry. These partnerships also enable the inclusion of cutting edge software such as SAS.
You learn through
- teaching sessions
- learning materials
- recommended readings
- problem-based learning
- group projects
- contemporary software platforms
There are opportunities to study abroad at one of our partner universities with the possibility of funding through the Erasmus+ programme (until 2023) or the Turing Scheme.
Course leaders and tutors
Richard Wilson
Course Leader, MSc Big Data Analytics
Richard Wilson is the course leader for the MSc in Big Data Analytics within the College of Business, Technology and Engineering, department of computing, and the Ma … Read more
Applied learning
Live projects
You will have the opportunity to work on real, work-based projects supplied by an external company or emulated industry case studies. You will utilise your skills and knowledge from earlier studies of topics such as data integration, statistical modelling, big data and distributed systems, to situations of genuine complexity.
Networking opportunities
The teaching team make use of their research and industry connections to facilitate the inclusion of real work scenarios and case studies within many of the modules.
There are many industries that make use of the skills developed on the course once you have graduated, including
- Pharmaceuticals
- Finance
- Marketing
- Retail
- Public Sector (Police, Government, NHS) Organisations such as Amazon, Facebook, UK Ministry of Defence, HSBC and GSK all make use of data management/analytics extensively to help them to better understand their customers and to make informed business decisions. IBM ranked these jobs as one of the most difficult for employers to recruit, due in part to the shortage of skilled data scientists.
Work Placement
You will have the opportunity to go on a work placement for up to 12 months. You are supported in finding placements and can apply for a vacancy as you would like a job. There are dedicated sessions to support you in CV writing, interview skills and job applications.
The placement starts during the summer of your second year and most are paid. Apply for the placement route by selecting the two year course length.
Future careers
This course prepares you for a career in
- statistical analysis and machine learning techniques
- database and programming technologies
- statistical theory
- marketing and insight
- credit risk
- data and technology
- digital analytics
- data science
Previous graduates of this course have gone on to work for
- the Bank of England
- OCF
- HSBC
- INC Research
- Axis Bank
Some of the associated careers in these fields are
- customer insight analyst
- credit risk analyst
- fraud analyst
- forensic analyst
- big data architect
- business intelligence developer
- digital analyst
- data scientist
Where will I study?
You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.
City Campus
City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.
City Campus map | Campus facilities | Keeping safe on Campus
Adsetts library
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.
Learn more
Equipment and facilities
On this course you work with leading edge software including
- SAS
- HaDoop
- MapReduce
- Java
- MSQL
Entry requirements
- All students
- Additional information for EU/International students
All students
A good honours degree in computing, computer science, maths or statistics or other relevant areas or equivalent.
We consider your application if you do not have a relevant degree but have at least one year's direct work experience in computing or a relevant area. You may also be able to claim credit points which can reduce the amount of time it takes to complete your qualification at Sheffield Hallam. Find out more
Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.
Additional information for EU/International students
If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page. You can also watch a video guide on how to apply.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
Modules
Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.
Modules studied may differ depending on when you start your course.
You will be able to complete a placement year as part of this course. See the modules table below for further information.
| Module | Credits |
|---|---|
| Module: Advanced Data Management Project | Credits: 45 |
| Module: Data Analytics: Tools And Techniques | Credits: 30 |
| Module: Industrial Expertise | Credits: 15 |
| Module: Postgraduate Placement | Credits: - |
| Module: Programming Concepts And Practice | Credits: 15 |
| Module: Research Skills And Dissertation | Credits: 60 |
| Module: Study Skills And Project Management | Credits: 15 |
Fees and funding
- Home students
- International students
Home students
Our tuition fee for UK students starting full-time study in 2022/23 is £8,745 for the course without a placement. Or £9,945 with a placement.
† If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.
International students
Our tuition fee for International/EU students starting full-time study in 2022/23 is £14,895 for the course without work experience placement or £16,095 with work experience placement.
Postgraduate student loans
Up to £11,222 available for Home students on most masters courses.
Learn more
Additional course costs
This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.
Additional costs for Computing courses (PDF, 244.5KB)
How do I apply?
You apply for this course via our online application form.
You can also use the application form above to apply for future years of entry. If you require an alternate version of the application form, please email directadmissions@shu.ac.uk.
Not ready to apply just yet?
Why not come to our next open day? Open days are the perfect place to talk to staff and students, visit our campuses and get all the information you need. Alternatively, feel free to ask us a question.
Come to an open day Ask a question
Where next?
Find out more about Sheffield Hallam's postgraduate opportunities and community.
Order a prospectus
Find out everything you need to know about studying at Sheffield Hallam.
Order your copy today
Come to an open day
You can chat to teaching and admissions staff, view our facilities and learn more about your funding options.
Book now
Information for international students
Information for international students including entry requirements by country and funding.
Learn more
Share this page
Cancel event
Are you sure you want to cancel your place on Saturday 12 November?
How Much Time It Takes to Learn Big Data Hadoop
Source: https://www.shu.ac.uk/courses/computing/msc-big-data-analytics/full-time
0 Response to "How Much Time It Takes to Learn Big Data Hadoop"
Post a Comment