Master's
DigitalMarketing
508 Pages
Marketing
Master's in Digital Marketing
Channels, funnels, analytics and strategy — explained from zero, before your first lecture.
Master's
Psychology · Pre-Course Guide
Theory, method and ethics before your first seminar.
Postgraduate psychology is a research discipline first. This guide covers the theoretical schools you'll be expected to compare, the methods you'll be graded on, and the statistics that quietly decide your dissertation.
Attention, memory and the models behind them.
Designs, validity, sampling and pre-registration.
From t-tests to regression, with intuition first.
Assessment, formulation and therapeutic models.
Groups, identity, influence and replication debates.
Consent, safeguarding and the codes you'll work within.
Everything you need to feel prepared before your first lecture — explained from zero, designed for beginners, and built to give you a head start.
500+ pages designed to prepare you before day one.
Complex concepts explained in simple language.
Diagrams, models and visual explanations that make learning easier.
Understand how theory works in real businesses.
Quick recaps so revision takes minutes instead of hours.
Learn the vocabulary before your lecturers use it.
Every concept includes clear examples you can actually understand.
Read anytime. Keep every update forever.
Whenever the guide improves, your version improves too.
Created after analysing real university programmes so you're learning what actually matters.
One small investment.
Eighteen months of confidence.
Semester 0 isn't another textbook.
It's everything students wish they knew before walking into their first Master's lecture.
"The methods module is clearer than any textbook I was assigned afterwards."
Sofia D.
MSc Psychology, Dublin
"I stopped feeling nervous about the statistics after about forty pages."
Hannah W.
Accepted, starting September
The complete 356-page preparation book with every module, case study and exercise.
€19.99
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Every Semester 0 guide is created using a combination of AI-assisted research, educational frameworks, and editorial review. We analyse recurring topics across leading Master's programmes and organise them into clear, beginner-friendly guides designed to help students prepare before their first lecture.
Our guides are independent educational resources. They are not official university materials and are not affiliated with any university.
Disclaimer: Semester 0 guides are independently created educational resources. They are designed to support students before their Master's begins and do not replace official course materials or university instruction.
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Linear algebra, statistics, Python and machine learning foundations for complete beginners.