Skip to main content
DigiTransact Mastermind

Computer Science

Programming, data structures and algorithms, computer systems, networks, databases and software engineering for university students.

8 skillsUNI
AI-drafted from platform data — specialist review scheduledBy DigiTransact Mastermind editorial team

About Computer Science on DigiTransact Mastermind

Programming, data structures and algorithms, computer systems, networks, databases and software engineering for university students.

Skill-by-skill mastery

Each of the 8 Computer Science skills carries its own SmartScore from 0 to 100, so progress is measured per topic rather than as one overall grade.

An explanation every time

All 52 Computer Science questions come with the written reasoning behind the answer, so a wrong attempt still teaches the method.

Sorted by level

Computer Science work is filed under University, so you only see sets that match the stage you are studying.

Education levels covered

University

Tertiary and college foundations - Advanced study

8 Computer Science skills at this level

Relevant curricula and exams

Based on the education levels this subject covers on the platform.

Tertiary foundation coursework
First-year and access-course level study

Curriculum notes are a general guide to where this work normally sits. Always check the syllabus your school or examination body is currently using.

Learning outcomes

After working through the Computer Science practice sets you should be able to:

  • Programming Fundamentals: Variables, loops, conditionals and functions.
  • Computer Architecture: CPU, memory, binary and how computers work.
  • Databases & SQL: Relational databases, tables, keys and queries.
  • Artificial Intelligence & Data Basics: Grasp machine learning, training data and everyday AI applications.

Sample questions

Real questions taken from the Computer Science question bank, shown with the working learners see after answering.

From Artificial Intelligence & Data Basics — AI, Data & Cybersecurity
Question

Machine learning is best described as:

  • Programming every rule by hand
  • Systems that learn patterns from data
  • Faster computer hardware
  • A type of database
Answer: Systems that learn patterns from data

Working: ML algorithms improve at tasks by learning from examples rather than explicit rules.

From Databases & SQL — Databases & Software Engineering
Question

A relational database organises data into

  • tables of rows and columns
  • single long text
  • images only
  • sound files
Answer: tables of rows and columns

Working: Relational databases use tables linked by keys.

From Programming Fundamentals — Programming & Data Structures
Question

A variable in a program is

  • a named storage location for a value
  • a fixed number that never changes
  • a type of computer
  • a network cable
Answer: a named storage location for a value

Working: Variables hold data that can change while a program runs.

Main topics and skills

Computer Science is organised into 4 topic groups covering 8 practice skills. Open any skill to read the guide and start a practice set.

Related study guides

Frequently asked questions

Which education levels does Computer Science cover?

The Computer Science material sits at University. Because each skill is labelled individually, a learner can work below or above their year group without losing their place.

Which parts of Computer Science can I revise?

Computer Science is split into 4 topic groups, among them Programming & Data Structures, Computer Systems & Networks, Databases & Software Engineering and AI, Data & Cybersecurity. Each group opens out into individual skills you can take one at a time.

How much Computer Science practice can I do?

You can work through 52 Computer Science questions across 8 skills, and read the worked reasoning whether you answer correctly or not.

Does this help with tertiary coursework?

Skills are arranged by education level, which includes the stages leading to tertiary coursework, and they are labelled Tertiary foundation coursework. Check your own syllabus for the exact topics set this year.

What does signing in add to Computer Science practice?

Every Computer Science skill page is readable without signing in. A free account is what lets the site save your SmartScore, remember finished skills and return you to where you stopped.

Related subjects

Free computer science courses to watch alongside

Full video courses from universities and educators, free to watch and listed on their own pages here.

How this page was produced

This text was drafted with AI assistance from the questions and topics already stored on the platform. A subject-specialist review is scheduled but has not yet been recorded, so we do not claim it here.

Written by
DigiTransact Mastermind editorial team
Human review
Not yet. Subject-specialist review is scheduled; this page will say so once it has happened. See which content receives human review.

Spotted a mistake on this page? Report a content correction and we will check it against the source. You can also read our editorial policy and how we use AI and where it falls short.

Ready to master Computer Science?

Pick any of the 8 Computer Science skills above, answer the questions and watch your SmartScore climb.