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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
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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.
Mode of Study:
University of Bolton
To be confirmed
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 20 September 2022
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.
The University of Bolton's 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.
A recent UK government report found that there is significant demand for data skills with UK companies recruiting for 178,000 to 234,000 roles requiring hard data skills (2). Additionally, the average publicly listed salary for roles that demand highly specialist data expertise in the UK is £64,376 (3).
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://www.gov.uk/government/publications/quantifying-the-uk-data-skills-gap/quantifying-the-uk-data-skills-gap-full-report accessed on 20 September 2022 (3) https://royalsociety.org/news/2019/05/data-science-skills-shortages/ accessed on 20 September 2022
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:
Important note regarding tuition fees for the 2022-2023 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 for EU students web page 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 details of how to apply for this course, please choose your status from the options below:
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.
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.
|Level one||Coursework 100%|
|Level two||Coursework 100%|
|Level three||Coursework 100%|
|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%|
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.
The academic staff detailed above teach across a range of courses in this subject area and may not teach on this course specifically.
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