The MCS Pre-seen for November 2021 and February 2022 is Out!

The pre-seen material will now be used for the November 2021 and February 2022 sittings.

CIMA has released the MCS pre-seen material. To get your copy of the pre-seen, check out my Home page. The pre-seen company is Frinta, a Westland-based quoted manufacturer specialising in central heating systems controls and electronic devices for smart homes.

NOW is an excellent time to kickstart your CIMA case study preparation. If you need a refresher on the theories covered on the strategic level, we’ve got the theory series here for you.

Various analyses will aid you in understanding and decoding pre-seen jargons:

  1. Pre-seen analysis – An in-depth analysis of the pre-seen material. We look at our pre-seen company in detail. We learn about the company background, structure and financial standing.
  2. Strategic analysis – Hot on the heels of a pre-seen analysis is to do a strategic analysis to help us with perspective. We need to know where the company has been, where it is now and where it is headed.
  3. Most likely issues – Based on what has been mentioned (and sometimes, not mentioned) on the pre-seen material, we can gather clues to risks, issues, and events that may affect our fictitious company.
  4. Industry analysis – This puts our pre-seen company in the context of the real world. We look at some real-life examples of companies in the same industry. We highlight problems and circumstances that have made the news, and find out how these companies have dealt with them.

The above analyses are delivered in both written and video formats. If you are unsure about the resources available, check out the Astranti MCS course page.

Good luck, student!

One thought on “The MCS Pre-seen for November 2021 and February 2022 is Out!

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.