Botswana Accountancy College
Students must apply via one of the following online application forms:-
Course starts: 20 September 2021Apply now
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.
We employ a blended teaching and learning approach and work to 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.
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.
Work with a client to develop a practical solution to a business problem, using up-to-date practitioner methods across the project life cycle.
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.
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.
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.
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.
We don’t currently display entry requirements for United States. Please contact the Student Admin team on email@example.com or 0191 515 3154.
Please contact the study centre for more information on their specific requirements and equivalent qualifications from outside the UK.
Please contact the study centre directly for information on fees, finance and start dates.
This information was correct at the time of publication.
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. 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.
With the global data and business analytics market being valued at 169 billion US dollars in 2018, and expected to grow to 274 billion in 2022, there is a clear demand for data analytics professionals.
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.
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