SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Foundations & Access Programme Code 008 Computer Science & Software Engineering

Pre-Master's in Computing

An applied Swiss-inspired curriculum combining algorithmic rigour, systems architecture, digital trust and practical engineering capability for modern technology leaders.

Duration 6 to 12 Months
Curriculum Model Foundational Certificate
Delivery Mode Online / Supported Digital Learning
Next Intakes Rolling Monthly Starts
CURRICULUM ARCHITECTURE

Academic Overview & Learning Objectives

The Pre-Master's in Computing at Brookfield School of Computing is engineered to provide deep competency across core computer science, systems design, and targeted domain applications. Students develop fluency in software craftsmanship, distributed architectures, algorithm optimization, and data governance.

Instruction balances rigorous theoretical foundations with practical code repositories, laboratory simulations, and ethical technology review aligned with modern international computing standards.

Modular code development & test coverage
Secure systems design & vulnerability mitigation
Distributed computing & cloud orchestration
Ethical technology & algorithmic transparency
MODULAR SYLLABUS

Curriculum Structure by Academic Section

Semester 1
9 Modules
Code Module Title Type Discipline & Learning Outcome
FND011 Foundations of Computing & Algorithmic Problem Solving Theory Develop computational thinking, structured problem decomposition and algorithmic problem solving in Computing.
FND012 Structured Programming for Computing with Python Practical Write, debug and test clean Python scripts, functions, loops and data structures for Computing applications.
FND013 Mathematics & Quantitative Foundations for Computing Theory Solve linear equations, functions, coordinate geometry and basic probability for computing applications in Computing.
FND014 Computer Systems Architecture & Terminal Basics in Computing Practical Navigate Linux file systems, manage system processes and write command-line scripts in Bash for Computing.
FND015 Academic English & Technical Communication in Computing Theory Develop academic writing, technical reporting, presentation skills and literature research habits in Computing.
FND016 Interactive Web Foundations & Digital Interfaces for Computing Practical Create structured web pages using HTML5, CSS3 styling and JavaScript interactivity for Computing interfaces.
FND017 Data Representation & Information Structures in Computing Theory Analyze binary representation of numbers, character encodings (ASCII/UTF-8) and data modeling in Computing.
FND018 Relational Databases & SQL Essentials Lab for Computing Practical Create relational database tables, insert records and write structured SQL SELECT queries with joins for Computing.
FND019 Digital Ethics, Security Awareness & Independent Study in Computing Theory Analyze cyber hygiene principles, intellectual property rules and ethical online academic practices in Computing.
Semester 2
9 Modules
Code Module Title Type Discipline & Learning Outcome
FND021 Object-Oriented Design & Problem Solving in Computing Theory Model software concepts using object-oriented principles, classes, objects, encapsulation and inheritance in Computing.
FND022 Practical Coding Workshop & Lab in Computing Practical Build multi-module programs in Python or Java incorporating modular design patterns and unit tests for Computing.
FND023 Discrete Mathematics, Logic & Set Theory Foundations for Computing Theory Apply truth tables, propositional logic statements, sets and basic graph representations to Computing.
FND024 Software Engineering Tools, Git & Version Control in Computing Practical Initialize Git repositories, create branches, resolve merge conflicts and collaborate via GitHub in Computing.
FND025 Computer Networks, Web Protocols & Internet Systems in Computing Theory Analyze IP addressing, DNS resolution, HTTP request-response cycles and network routers for Computing.
FND026 Data Analysis, Spreadsheets & Introductory Pandas Lab for Computing Practical Clean tabular data, compute summary statistics and generate charts using Excel and Python Pandas in Computing.
FND027 Operating Systems Fundamentals & System Administration in Computing Theory Explain CPU process scheduling, memory allocation, file systems and operating system security for Computing.
FND028 Practical Application Mini-Project in Computing Practical Develop a functional software application or analytical dashboard solving a realistic problem in Computing.
FND029 Foundation Capstone Project & Technical Portfolio in Computing Practical Present the completed portfolio of coding artifacts and oral defense of foundational computing concepts in Computing.
Pathway Snapshot
  • Target Award Institutional Preparatory Certificate
  • Study Level Foundations & Access
  • Language English
  • Delivery Online / Supported Digital Learning
Eligibility Guidelines

Secondary school completion or relevant initial technical curiosity. English proficiency recommended.

Institutional Disclosure

Brookfield School of Computing is an independent private education institution in formation. Academic programmes, entry requirements, fees and awards are subject to institutional review and applicable Swiss legal regulations.