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This course is compulsory on the Global MSc in Management, Global MSc in Management (CEMS MIM) and Global MSc in Management (MBA Exchange). This course is not available as an outside option.

The course is divided into the following subject areas:

• Introduction to maths for economics
• Impact and Influence for Young Professionals
• Careers
• Alumni
• Introduction to quantitative analysis: Installing and navigating R
• Understanding company accounts

Introduction to maths for economics

This is for all students and the key learning objectives cover:

1. How to compute and draw the slope and the intercepts of a linear function.
2. How to graph a function: linear, quadratic, min, max,
3. Solving a linear equation of degree one and solving a linear system of two equations and two unknowns.
4. Partial derivatives of a polynomial in one variable. Differentiation of a polynomial and a Cobb-Douglas function of two variables with respect to each variable. Finding the maximum or the minimum of a one-variable function.
5. Computing the expectation of a discrete random variable.

Impact and Influence for Young Professionals

For one day students attend an engaging and highly participative workshop covering a variety of topics including communication styles, personal behaviour insights, physical presence, vocal presence, overcoming stage fright, influencing others, structuring presentations, handling challenging questions, networking and making a positive first impression. Individual coaching and feedback is provided throughout the day, with a focus on increasing self-awareness and personal impact.

Careers

Various interactive sessions are delivered throughout the two weeks by our dedicated GMiM Careers Consultant. This includes: Kick Start You Job Application, Start Your Internship Search and Team Dynamics. 1-2-1 sessions are also available to book throughout the two weeks.

Alumni

Alumni are invited to a panel(s) to share their experiences of GMiM and where they are now. A variety of alumni are invited to attend and network with students, with the aim that the panel is made up of diverse career pathways and GMiM second year tracks.

Introduction to quantitative analysis: Installing and navigating R

Optional workshops are available for students to take part in.

R is the statistical programming language that is used in MY451 (Introduction to Quantitative Analysis). MY451 is one of the core courses in the Autumn term. While no prior knowledge of R (or indeed statistics