Chi tiết khóa học Business Analytics online PGDip, Management, University of Bath Online

Business Analytics online PGDip

Anh Quốc

Nội dung bạn sẽ được học

Learn to transform data into insights with the post graduate diploma in business analytics


As big data powers more aspects of industry and society, demand is rising for professionals with the expertise and technical know-how to harness business analytics.


Develop foundational knowledge of concepts and software for capturing insights that improve decision-making and performance for UK organisations by pursuing your Post Graduate Diploma in Business Analytics online (PGDip).


Our online PGDip course focuses on business analytics tools and techniques for analysing data to solve challenges and unlock new opportunities. The course comprises 120 credits from our complete master's degree. You will study units such as Data Mining, Machine Learning, Analytics in Practice, and Project Management, and select two optional units from a choice of four. As you progress, you will apply these principles to analyse business situations, helping you optimise your own business decisions while gaining practical experience in areas such as machine learning, data mining, and analytics in practice.

Khoa bạn sẽ vào học

Management

Các hình thức học tập

Kết hợp học Trực tuyến/ Từ xa với lên lớp (2 năm)

Học phí
£4,998.00 (163,139,272 đ) một năm
Our online PGDip Business Analytics course costs £833 per 10 credits. Fees are paid in unit instalments corresponding with the course units. The total cost of this 120 credit PGDip course is £9,996. 10% alumni discount available.

Chi phí dự kiến
Ngày bắt đầu

Tháng Chín 2026

Địa điểm

Online

Claverton Down,

Bath,

Somerset,

BA2 7AY, Southern England, United Kingdom

Yêu cầu đầu vào

Dành cho sinh viên quốc tế

If you do have a degree: Typically, you should have a first or second class bachelors honours degree or international equivalent. You must have an undergraduate degree in a subject with high quantitative content such as mathematics/statistics, computer science, engineering, physics, chemistry, biology, economics, or a quantitative social science. We may consider other subjects if they have enough quantitative content.

If you dont have a degree: We will consider candidates who dont hold a degree but do have relevant professional work experience or alternative qualifications. Please reach out to our team for more information.

Previous experience of computer programming is an advantage. You should include information about your quantitative and programming experience in your personal statement.

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