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“At the University of Bolton, we take great pride in providing a quality, supportive learning environment for our students.” Professor George E Holmes DL | President & Vice Chancellor
“...tutors are very supportive and you’re not just a student ID number, at this university you are an individual with a name.” Ellisse Vernon | BSc (Hons) Adult Nursing
Our BSc (Hons) Computing (Data Analyst) is ideal if you enjoy looking for patterns, noticing trends and making new discoveries. We offer the knowledge and skills needed to interrogate and make sense of data, unlock vital insights and communicate your discoveries, so you can help companies turn data into profit and productivity.
Key information
Award:
BSc (Hons)
Mode of Study:
Full-time
Duration:
3 years
Location:
University of Bolton
UCAS points:
96
UCAS code:
G300
Start date:
To be confirmed
Course Details
The Harvard Business Review has called the data scientist ‘the sexiest job of the 21st century’ (1). Our BSc (Hons) Computing (Data Analyst) course offers a route into this exciting career, along with global opportunities in a huge range of sectors. Data analysts provide up-to-date, accurate and relevant data analysis for organisations, making recommendations to improve business performance. Throughout this course, we’ll guide you as you develop technical knowledge and applied skills with a range of data structures, software development procedures and analytical tools.
Our expert and dedicated team will cover managing, cleansing, abstracting and aggregating data, a wide range of standard and custom analytical studies, as well as data visualisation techniques. We’ll support you as you learn to provide insight and analysis through clear visual, written and verbal communication. The department’s strong links with business mean you’ll have the chance to work on ‘live briefs’ in your coursework assignments, so you’ll have the opportunity to enjoy real-world context and application for the skills and knowledge we’ll help you develop.
With intentionally small class sizes, we can offer you meaningful and personalised interaction with our dedicated and enthusiastic lecturers, many of whom are active researchers and come with extensive industry insights and experience. Meanwhile, guest speakers and lecturers give you access to highly relevant and up-to-date input from industry settings.
All of this is backed by our well-equipped IT suites, where you’ll get to apply and develop your learning individually and in groups, with expert guidance and support.
(1) https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century visited on 13 August 2021
Highlights
Our Computer Science courses are placed first in the UK for teaching quality and student experience by the Times and The Sunday Times Good University Guide 2021.
The department, and the wider University, provides a warm and friendly environment for your studies, with relatively small class sizes, purpose-built teaching facilities, and excellent student support and library services.
Your teaching and tutorial team brings an impressive range of professional experience and technical prowess to the course, so you’ll have the chance to explore and evaluate a range of perspectives relating to your studies.
A big part of our commitment to your progress is helping you develop your employability and industry networks. So we’ll encourage you to attend guest lectures that give your learning context, offer industry contact, and contribute to your underlying professional development.
By underpinning our content and assignments with a strong industrial focus, we foster a keen understanding of the role and value of data analysis in the business environment and help you develop essential skills such as attention to detail, communication and time management.
We’ll focus on your individual needs and provide personalised support to help find the learning strategies that best support your learning and ultimate success.
Key Features
Our dedicated laboratories, servers and end-hosts feature high-specification hardware and the latest software, so you’ll have industry-equivalent hands-on experience.
You’ll also get to experience the latest technologies, such as cloud-based machine learning tools from AWS and Azure.
As you’d expect, many of our computing facilities are accessible online, so you can work on your assignments wherever you are and whenever inspiration kicks in.
We’ll support you to develop sought-after skills such as background research, critical reasoning and problem-solving, as well as professional communication, time management, teamwork, and lifelong learning.
We’ll also encourage you to build a portfolio of evidence representing the projects and tasks you’ve completed during your studies, ready to impress potential employers.
We continually monitor and update the course to reflect current and ever-changing computing issues and keep your learning in line with technological advances and innovations.
Your Level 3 subjects must include a science, technology, engineering or mathematics (STEM) related subject; for instance, A-level Mathematics or BTEC Extended Diploma in Computing.
You should also have five GCSEs at grade C or above or grade 4 to 9 (or equivalent), including English and Mathematics.
If you don’t meet the standard entry requirements but have non-traditional qualifications and/or relevant experience, we’ll be happy to consider your application. You’ll need to achieve a minimum mark in a diagnostic mathematics test and attend an interview.
You may be required to attend an interview and/or provide a portfolio of work.
If English isn’t your first language you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.
Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.
Our BSc (Hons) Computing (Data Analyst) offers a comprehensive overview of key data analysis principles and methods, along with a broad grounding in technology solutions, making our graduates highly competitive in the global jobs marketplace.
As a graduate, you’ll possess a deep technical understanding of data quality and data analysis processes and methods, as well as a sound knowledge of data protection and legal issues, and the fundamentals of data structures, database system design, implementation, maintenance, and data architecture.
During the course, you can also expect to develop a wide range of technical, professional and interpersonal skills, such as attention to detail, team working, problem-solving, communication and presentation skills, time management, and lifelong learning.
What can I do with this qualification?
A recent report showed that the average publicly listed salary for roles that demand highly specialist data expertise in the UK is £64,376 (2). Graduates from this programme should prove valuable to private, public and third sector organisations of all sizes and across the full spectrum of industries. Employers include financial services firms, retail companies, marketing agencies, higher education institutions, pharmaceutical companies, government and intelligence services, telecommunications and IT firms, and insurance companies.
On successful completion of the course, you’ll be well prepared for a career in data analysis and to work your way up to positions of greater responsibility and leadership. You’ll also be ready to progress to postgraduate-level study or additional IT certification to develop your expertise further. Popular areas for further study include business, marketing, statistics and finance.
Studying for a PhD or professional doctorate is another option.
(2) https://royalsociety.org/news/2019/05/data-science-skills-shortages/ accessed on 13 August 2021
Alternative career options
Graduates can use the qualification as a stepping-stone into a range of other careers. For some of these roles, relevant experience and/or postgraduate study may be required. Roles include:
Digital copywriting
IT sales
IT training
Teaching
Research and development
Network engineering
Product management
Technical writing
Social media management
Cyber security
Information systems management
Games development
Course fees
Home Fees
Year of study
Total
Entry year
2021/22
2022/23
2023/24
2024/25
2021
£9,250
£9,250
£9,250
-
£27,750
International
Year of study
Total
Entry year
2021/22
2022/23
2023/24
2024/25
2021
£12,450
£12,450
£12,450
-
£37,350
Important note regarding tuition fees for the 2021-2022 academic year:
EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for ‘Home’ fee status.
If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for ‘Home’ fee status under the Common Travel Area arrangement.
Please read the
student finance eligibility 2021-2022 policy on www.gov.uk for information.
The fees for a student’s course of study will be set for the
normal duration of that course subject only to inflationary increases – measured by the Consumer Price Index (CPI) recorded in
March each year to take effect for subsequent start dates.
For 2021-2022 entry, the maximum government approved undergraduate tuition fee for UK students is £9,250 per year.
The University is able to charge this fee subject to an approved Access and Participation Plan for 2021-2022 and its current rating in the Teaching Excellence Framework.
For details of how to apply for this course, please choose your status from the options below:
September start
Please apply through UCAS (the Universities and Colleges Admissions Service) for September entry.
The online application form and guidance notes are available on the
UCAS website.
You can apply for up to 5 courses through UCAS (at the same or different institutions) for a fee of £24.
Alternatively, if you only wish to apply for a single course at a single institution then a reduced applicant's
fee of £13 is applicable.
You will need the following information to complete your UCAS application form:
The University welcomes applications from international students from all over the world. We try to make the application process as simple and as fast as possible for our international applicants.
This course is not currently accepting online applications
Admissions
University of Bolton
Deane Road
Bolton, BL3 5AB
United Kingdom
Tel: 01204 903903
Email: enquiries@bolton.ac.uk
Learning and teaching methods use a blended style, which means you’ll have face-to-face sessions as well as taking part in online learning. You can expect a mixture of seminars, lectures and tutorials, practical laboratory/workshop sessions, a visiting speaker programme, critiques, self-directed study and e-learning, as well as online sessions and support. We’ll help you gain practical skills through technical introduction and support, workshop sessions, demonstrations and activity-based assignments. Throughout the course, a strong practical theme promotes active learning.
In terms of assessment, we aim to provide creative and industry-relevant ways for you to demonstrate your theoretical and practical knowledge. You can expect assessments to involve assignments, projects, in-class tests, portfolios, examinations and presentations. Some assessments will contribute to your final module mark and allow you to demonstrate that you’ve met the learning outcomes. In contrast, others are designed to help you identify areas that need extra attention on your part or where you need extra support from your tutors.
Modules
The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.
Introduction to Software Development
Computing Infrastructure
Databases
Fundamentals of Software Engineering
Data Structures and Algorithms
Advanced Databases and Big Data
Modern Applications
Systems Analysis and Design
Undergraduate Project
Agile Programming
Enterprise Systems Development
Machine Learning
Assessment methods
Level
Assesment method
Level one
Coursework 94%, Written exams 6%
Level two
Coursework 100%
Level three
Coursework 100%
Learning activities
Level
Learning activity
Level one
Guided independent study 66%, Scheduled learning and teaching activities 34%
Level two
Guided independent study 77%, Scheduled learning and teaching activities 23%
Level three
Guided independent study 77%, Scheduled learning and teaching activities 23%
Disclaimer
The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.
