BSc (Hons) Business Intelligence Data Analytics (Top-Up) via Study Centres
| Program start date | Application deadline |
| 2024-02-14 | - |
Program Overview
Business Intelligence Data Analytics (Top-Up) via Study Centres BSc (Hons)
Overview
This top-up course is informed by data science, AI and machine learning. Data science research has impact wherever analysis of large-scale complex data is useful. It enables businesses and policy makers to determine trends, it can be used in disease prevention, preventing terrorist attacks, cybersecurity, combatting crime and in the discovery of new scientific knowledge. You will learn a range of industry specific software and tools such as Oracle, Python (Anaconda Navigator), R Studio and Weka.
This course is delivered at our study centre in Botswana. Please contact the study centre directly for more information about start dates and fees.
Why us?
- Our blended teaching and learning approach will expose you to real-world industrial activity while developing essential practical skills
- Subjects are taught from global perspective, equipping you with the skills and knowledge to thrive in a range of careers in an international marketplace
Course structure
We employ a blended teaching and learning approach and work consistently to expose you to real-world industrial activity while developing essential practical skills. You will learn through a mix of lectures, interactive lectorials, lab-based practicals, classroom-based seminars, group problem-solving sessions, case studies, guest expert lectures, one-to-one and group supervision and online learning.
You will be assessed mostly by practical coursework, with some written assessments and occasional written examinations or time-constrained assessments.
Course modules
Core modules:
- Research Module (20 credits)
- Undertake advanced study in order to define, plan and a develop a proposal for a research investigation and scope, plan, develop and produce an academic research paper.
- Product Development (20 credits)
- Work with a client to develop a practical solution to a business problem, using up-to-date practitioner methods across the project life cycle.
- Business Intelligence and Strategy (20 credits)
- Learn about the practical applications of big data in a business context and gain a critical awareness of the strategic challenges and opportunities afforded by business intelligence to organisations. Consider the professional and ethical requirements of big data.
- Advanced Data Technologies (20 credits)
- Understand how traditional and newer data models and database technologies support real world demands of data. Investigate various data architectures and how they can represent structured and unstructured data in traditional and big data systems, methods for designing, developing and maintaining these data systems, and tools for data access and analysis including data analytics tools and how they are used in areas such as data science.
- Artificial Intelligence (20 credits)
- Gain a broad introduction into AI techniques and a detailed understanding of the application of some critical approaches, so that when you go into industry or research, you are able to choose and develop a solution using the correct AI techniques for the problem.
- User Experience Design (20 credits)
- Study the principles and practices that ensure users gain the most appropriate experience when interacting with computer-based software and hardware systems. Focus on the three core principles of interaction design: understanding users and their contexts which involve learning techniques to profile users and analyse their tasks, design principles such as layout and dialogue design, and user-centred evaluation methods such as usability testing and expert inspection.
Facilities
Please contact the study centre directly for more information about their facilities.
Entry requirements
We don’t currently display entry requirements for Ireland. Please contact the Student Admin team for more information.
Please contact the study centre for more information on their specific requirements and equivalent qualifications from outside the UK.
Fees and finance
Please contact the study centre directly for information on fees, finance and start dates.
Career ready
You will graduate as a technically competent data and information systems analyst with experience of up-to-date methodologies, opening up a wide range of employment opportunities.
Your career options
With the global data and business analytics market value continuing to increase, there is a clear demand for data analytics professionals.
Our graduates in this area are working as Software Developers and Data Engineers at financial institutions including JP Morgan and Deloitte and software development companies such as Accenture.
You will be given additional support in career planning, preparing to apply, preparing your CV, interview techniques and much more, meaning you will well equipped to apply for exciting, high-salary positions such as data analytics analyst or big data consultant.
Program Outline
Business Intelligence and Data Analytics (Top-Up) via Study Centres - BSc (Hons)
Outline:
- Overall Approach: Blended learning approach with a focus on real-world industry exposure and development of practical skills.
- Teaching Methods: Mix of lectures, interactive lectorials, lab-based practicals, classroom seminars, group problem-solving sessions, case studies, guest expert lectures, one-to-one and group supervision, and online learning.
- Assessment: Primarily coursework-based with some written assessments and occasional written examinations or time-constrained assessments.
Modules:
- Research Module (20 credits): Develop and research proposal, plan, and produce a research paper.
- Product Development (20 credits): Apply practitioner methods to develop a real-world solution for a business problem.
- Business Intelligence and Strategy (20 credits): Understand big data applications in business, its strategic challenges and opportunities.
- Advanced Data Technologies (20 credits): Explore data models, database technologies, data architectures, and data analysis tools
- Artificial Intelligence (20 credits): Gain expertise in AI techniques and their applications.
- User Experience Design (20 credits): Learn principles of user experience design for computer-based software and hardware systems.
Other:
- Study Centre Location: Botswana
- Contact: Botswana Accountancy College
- Career Support: Help with career planning, CV preparation, interview techniques, and finding exciting high-salary positions.
Additional Notes:
- The course structure and content are subject to change.
- Please contact the study centre for more information on fees, finance, and start dates.
- This information was accurate as of March 8th, 2024.
University of Sunderland
Overview:
The University of Sunderland is a public university located in Sunderland, England. It offers a diverse range of undergraduate and postgraduate programs across various disciplines. The university has a strong focus on providing a supportive and inclusive learning environment for its students.
Services Offered:
The University of Sunderland provides a comprehensive range of services to its students, including:
Academic Support:
Access to libraries, learning resources, and academic advisors.Student Support:
Counseling, mental health services, and disability support.Accommodation:
On-campus and off-campus housing options.Career Services:
Career guidance, job search assistance, and internship opportunities.Student Life:
A vibrant student union, clubs, societies, and social events.Student Life and Campus Experience:
The university boasts a diverse and inclusive campus community where students can connect with people from different backgrounds and cultures. Students can participate in extracurricular activities, engage in personal and professional development opportunities, and enjoy a vibrant social scene.
Key Reasons to Study There:
Top-Quality Facilities:
The university has modern facilities, including a state-of-the-art library, sports facilities, and dedicated learning spaces.Inclusive Culture:
The university fosters a welcoming and inclusive environment for all students.Vibrant City:
Sunderland is a dynamic city with a rich history and a low cost of living.Strong Industry Links:
The university has strong connections with local businesses and industries, providing students with valuable career opportunities.Academic Programs:
The University of Sunderland offers a wide range of academic programs, including:
Arts and Design:
Fashion, Photography, Fine Art, and Graphic Design.Sciences:
Pharmacy, Nursing, Medicine, and Biology.Business and Law:
Business Management, Finance, Law, and Tourism.Computing and Engineering:
Computer Science, Software Engineering, and Electrical Engineering.Education and Social Sciences:
Education, Psychology, and Social Work.Other:
The university has campuses in Sunderland, London, and Hong Kong, offering students a global learning experience. It is also recognized for its commitment to sustainability and equality, diversity, and inclusion.
Entry Requirements:
The University of Sunderland BSc (Hons) Business Intelligence Data Analytics (Top-Up) via Study Centres program has specific admission requirements for both EU home students and international overseas students outside the EU.
EU Home Students:
- Possess a relevant Honours degree or equivalent qualification in any subject area.
International Overseas Students:
- Hold a relevant Honours degree or equivalent qualification in any subject area.
- Achieve a minimum IELTS score of 6.5 (with no individual band below 6.0) or equivalent English language proficiency qualification.
Additional Information:
- Applicants without a formal qualification but with substantial relevant experience may be considered on an individual basis.
- The University accepts a range of international qualifications.
- Specific entry requirements for international students may vary depending on their country of origin.
Language Proficiency Requirements:
- All applicants whose first language is not English must demonstrate English language proficiency.
- The minimum IELTS score for this program is 6.5 (with no individual band below 6.0).
- Other recognized English language tests, such as TOEFL and PTE Academic, are also accepted.
- Please refer to the University's website for a complete list of accepted English language tests and their required scores. ## Summary:
EU Home Students:
- Relevant Honours degree or equivalent qualification.
International Overseas Students:
- Relevant Honours degree or equivalent qualification.
- Minimum IELTS score of 6.5 (with no individual band below 6.0).
Language Proficiency:
- Minimum IELTS score of 6.5 (with no individual band below 6.0) for Non-native English speakers.
