MSc International Management (Business Analytics)

Course prospectus hero image

Key information

Degree

MSc International Management (Business Analytics)

Types of study

Full time

Duration

12 months

Start date

September 2022

Faculty

Nottingham University Business School China

Note: For students who need degree verifications from the Ministry of Education of China, the verification document only states the degree title "International Management", without the specialisation in brackets, if any.

Introductory video

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Entry requirements

Although the entry requirements vary depending on the course, as a general rule, you are expected to hold an honours degree at 2:1 level or above (or international equivalent). Applicants should have a Bachelor's degree that includes substantial mathematical/statistical content, such as management, business studies, economics, accounting, finance, engineering, computer science, mathematics and statistics. All cases need to be reviewed by the admission tutor excluding direct rejection cases.

In addition to academic qualifications, if your first language is not English or entry qualification was not obtained in the English medium (from an approved institution), you are required to provide evidence of your proficiency in English.

The minimum requirements for our courses are:

  • IELTS 6.5 no less than 6.0 in any element;
  • PTE Academic 71 (minimum 65);
  • or other equivalent English proficiency test scores.

Course overview

This programme focuses on business applications of data science and machine learning and aims to enhance students’ skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.

When our students graduate, they will be able to:

  • find a job in the business firms that require knowledge of big data and advanced analytic techniques.
  • study the organisations, management, and international external environments.
  • gain business insights and professional skills in data mining, data visualization, data management, process modelling, predictive and advanced analytics.
  • develop the ability to optimize the business processes and management practice. 

Course structure

Year 1 modules

+

Compulsory

Students must take all modules in this group.

Module Code Module Title Credits Taught
BUSI4389 Data at Scale: Management, Processing and Visualization 20 Autumn
BUSI4390 Foundational Business Analytics 20 Autumn
BUSI4394 Data Driven Dissertation Project in Business Analytics 60 Summer
BUSI4391 Machine Learning and Predictive Analytics 20 Spring
BUSI4392 Analytics Specializations and Applications 20 Spring
BUSI4393 Leading Big Data Business Projects 10 Spring

 

Optional

Group 1: students must take 20 credits from this group.

Module Code Module Title Credits Taught
BUSI4524 Entrepreneurship in Context 20 Autumn
BUSI4379 Consumer Behaviour and Analytics 20 Autumn
BUSI4401 Operations and Supply Chain and Strategy and Practice 20 Spring

 

Group 2: students must take 10 credits from this group.

Module Code Module Title Credits Taught
BUSI4548 Project Management 10 Autumn
BUSI4547 E-Business 10 Spring
BUSI4606 Financial Technology 10 Spring
BUSI4381 New Product/Service Development and Management 10 Spring
BUSI4613 Procurement and Purchasing 10 Spring
BUSI4398 Digital Marketing 10 Spring
BUSI4631 Artificial Intelligence Law for the Finance Industry 10 Spring

Careers and further study

Our graduates are welcomed in data analytics positions in Internet companies, as well as business analytics positions in traditional industries.

Below are the potential careers of our graduates

  • Business intelligence analytics
  • Marketing analyst
  • Business systems analyst
  • Business consultant
  • Solution architects

Fees

Mainland Chinese students

100,000 RMB / year

Hong Kong, Macau & Taiwan students

100,000 RMB / year

International students

110,000 RMB / year

Scholarships, sponsorships and bursaries

To encourage academic excellence, we offer a comprehensive and expanding range of full and partial scholarships. 

Please click here and find more information about scholarships.

Contact us

Admissions Office

University of Nottingham Ningbo China
199 Taikang East Road, Ningbo, 315100, China

E. admissions@nottingham.edu.cn
T. +86 (0574) 8818 0182
W.


Faculty Office of Business

Room 347, Trent Building
University of Nottingham Ningbo China
199 Taikang East Road, Ningbo, 315100, China

E. fobpg@nottingham.edu.cn
W.


You may also send your questions to us by submitting an online enquiry form.