Business Analytics MSc

Coventry University
En Scarborough (Inglaterra)

£ 9.602 - (11.263 )
+ IVA

Información importante

  • Master
  • Scarborough (Inglaterra)
  • Cuándo:
    Enero 2017
    otras fechas
Descripción


The MSc Business Analytics programme is an innovative new programme designed to develop the practical business analytical skills needed in today’s data rich business world. Businesses need trained analysts capable of exploring data to find new patterns and relationships and make business decisions accordingly. Organisations require analysts capable of generating value from large data sets which cannot be analysed with traditional techniques. You will be taught to apply appropriate analytical techniques within a business context.

Información importante

Requisitos: "Entry Requirements Applicants will normally hold a good honours degree in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis. HOW TO APPLY To find out more about how to apply, click on the Apply For This Course button..."

Instalaciones y fechas

Dónde se imparte y en qué fechas

Inicio Ubicación
Ene-2017
Sep-2017
Scarborough
Ashburn Rd, Scarborough, YO11 2JW, North Yorkshire, Inglaterra
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¿Qué aprendes en este curso?

International
Global
Skills and Training
Skills and Training
International
International
Skills and Training

Temario

" Business Analytics MSc OVERVIEW

The MSc Business Analytics programme is an innovative new programme designed to develop the practical business analytical skills needed in today’s data rich business world. Businesses need trained analysts capable of exploring data to find new patterns and relationships and make business decisions accordingly.

Organisations require analysts capable of generating value from large data sets which cannot be analysed with traditional techniques. You will be taught to apply appropriate analytical techniques within a business context.

WHY CHOOSE THIS COURSE?

The course has been specifically designed to give a structured understanding of business analytics. Initially you will be given an overview of big data and business analytics. You will then be taught the analytical techniques underpinning business analytics.

The focus will then be on analytical techniques applicable to specific organisational functions such as: marketing, operations, finance and logistics. We will also develop your skills to improve your business understanding and important communication skills. In addition you will get some commercial research experience for your CV either through your project and dissertation or through the Postgraduate Company Internship (subject to meeting criteria).

Please note: Students will need to pass all Semester 1 modules and attend two compulsory employability skills workshops. After an interview with an internal panel of academics and formal presentation, successful students are selected by the host organisation.

WHAT WILL I LEARN?

The aim of the programme is to produce post graduate students who as well as understanding the value and benefits of business analytical techniques can apply these techniques and methods to organisation functions in order to facilitate data driven decision making for the organisation.

The objectives of the course are:

  • To understand the context of big data and analytics within organisations.
  • To critically learn, understand and apply techniques underpinning business analytics.
  • To apply business analytical techniques relevant and appropriate for particular business functions.
  • To effectively use information tools to deliver effective communication of analysis leading to actionable results.

The course consists of the following modules: Big Data and Big Analytics; Business Statistics; Data Mining Methodologies and Applications; Business Modelling; Applied Marketing Analytics; Operations Analytics; Financial Analysis for Decision Making; Global Supply Chain and Logistics; Dissertation or The Postgraduate Consultancy Project.

HOW WILL THIS COURSE BE TAUGHT?

A variety of technologies will be used to teach this course including: SPSS, NVivo, Microsoft Word, Excel and PowerPoint; Social Media, CU Moodle, Locate and databases to support effective searching, selection and analysis of different data sources.

HOW WILL I BE ASSESSED?

Students will be assessed by a variety of different methods including: coursework, group work, presentations, examinations and dissertation.

TEACHING CONTACT HOURS

There will be an average of 12 teaching contact hours per week.

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