Courses / Course

	Required	Ordinary level grade	Higher level grade
Irish		O6	H7
English		O6	H7
Language		-	-
Math		-	H2
Science		-	-

This course requires 3 additional subjects

Mature applicants are assessed separately to school-leavers. Mature applicants are 23 years or older by 1st January in the year of entry to the University. For part-time/flexible degrees the mature age is 21. 

Click here to be taken to our mature applicant information page - tab 3 on that page outlines application steps for this degree.

Mature applicants who have a disability 

If you have a disability or specific learning difficulty (e.g. dyslexia), and require examination support for any written tests that may be required, please submit supporting documentation by 15 March 2023 to the Access Office. 

Unfortunately we are unable to consider applications for alternative examination accommodation after this deadline. 

For further information on the supporting documentation required, as well as examination and other supports visit the Access Office website.

Leaving Certificate applicants are required to present (as a minimum): 2H5 & 4O6/H7 and O6/H7 in Irish, English & H2 Mathematics.

HEAR and DARE

DARE: The Disability Access Route to Education is a third level alternative admissions scheme for school-leavers whose disabilities have had a negative impact on their second level education.

HEAR: The Higher Education Access Route is a third level admissions scheme for school leavers from socioeconomically disadvantaged backgrounds.

Contact the Access Office for more information about these access routes.

Apply to CAO

www.cao.ie

The application process depends on the type of applicant you are. Click here for all information about how to apply.

Categories of applicant:

• School-leavers (Leaving Certificate students)
• Mature students (23 years or older by 1st January in the year of entry to the University/part-time degrees the mature age is 21)
• EU/EFTA/UK students
• International students (outside the EU)
• QQI (Further Education) students
• Transferring students
• Deferring students

1st year

• 4 modules in Computer Science
• 6 modules in Mathematics
• 2 modules in Philosophy

2nd year

• 6 modules in Computer Science
• 4 modules in Mathematics
• 2 modules in Philosophy

You will have the option of undertaking a 1-year work placement or study abroad after 2nd year (subject to availability)

3rd year

• 6 compulsory Computer Science and Mathematics modules
• 6 optional modules chosen from among the 3 core disciplines

Coding languages currently covered in the CT degree:

• First year - Python, Java, SQL
• Second year - C, R, Haskell
• Final year - Languages of choice in projects of choice

Duration: 3 years (accelerated)

Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually. Please check periodically for updates.

Year 1

COMPUTATIONAL THINKING CS1TDM - COMPUTATIONAL THINKING Credits: 30 Compulsory: Module Code Credits Semester Compulsory ALGORITHMS & DATA STRUCTURES 1 CS210 5 1 ALGORITHMS & DATA STRUCTURES 2 CS211 5 2 FUNDAMENTALS OF LOGIC FOR COMPUTATIONAL THINKING CS125 5 2 INTRODUCTION TO COMPUTATIONAL THINKING CS225 5 1 OPERATING SYSTEMS, COMMUNICATIONS AND CONCURRENCY CS240 5 2 PHILOSOPHIES OF THE DIGITAL AGE PH215B 5 1 MATHEMATICS MT1TDM - MATHEMATICS Credits: 30 Compulsory: Module Code Credits Semester Compulsory ABSTRACT ALGEBRA MT242P 5 2 ANALYSIS 1 (P) MT232P 5 1 FINITE MATHEMATICS MT241P 5 1 FOUNDATIONS OF EUCLIDEAN GEOMETRY MT251P 5 1 INTEGRATION MT231P 5 2 MULTIVARIABLE CALCULUS MT234P 5 2

Year 2

COMPUTATIONAL THINKING CS2TSM - COMPUTATIONAL THINKING Credits: 60 Compulsory: Module Code Credits Semester Compulsory COMPLEX ANALYSIS 1 MT333P 5 2 COMPUTATION & COMPLEXITY CS370 5 1 EPISTEMOLOGY PH206 5 1 GROUP THEORY 1 MT342P 5 1 METRIC SPACES (REAL ANALYSIS 2) MT332P 5 2 NUMERICAL COMPUTATION CS417 5 2 PHILOSOPHY OF NATURAL SCIENCE PH313A 5 2 PROGRAMMING LANGUAGES & COMPILERS CS310 5 1 READINGS IN THE FOUNDATIONS OF COMPUTER SCIENCE CS434 5 2 REAL ANALYSIS 1 MT331P 5 1 SOFTWARE VERIFICATION CS357 5 1 THEORY OF COMPUTATION CS355 5 2

Year 3

COMPUTATIONAL THINKING CS3TSM - COMPUTATIONAL THINKING Credits: 60 Compulsory: Module Code Credits Semester Compulsory ARTIFICIAL INTELLIGENCE & LANGUAGE PROCESSING CS404 5 1 COMPLEX ANALYSIS 2 MT433P 5 1 COMPUTER GRAPHICS CS426 5 2 COMPUTER VISION CS410 5 1 CRYPTOGRAPHY CS416 5 1 DIFFERENTIAL GEOMETRY MT451P 5 1 FINAL YEAR PROJECT CS460 5 Year-Long FRACTALS AND REAL DYNAMICAL SYSTEMS MT480E 5 2 FROM MODERNISM TO POSTMODERNISM PH355 5 2 GENERALISED LINEAR MODELS ST304 5 2 GRAPH THEORY MT412C 5 2 GROUP THEORY 2 MT441P 5 1 IMAGE AND OPTICAL PROCESSING CS356 5 1 LINEAR MODELS ST303 5 1 MACHINE LEARNING & NEURAL NETWORKS CS401 5 1 MORAL PHILOSOPHY IN A GLOBALISED SOCIETY PH202 5 1 NUMBER THEORY MT444P 5 2 PARALLEL & DISTRIBUTED SYSTEMS CS402 5 2 POINT SET TOPOLOGY MT434P 5 2 PROBABILITY ST301 5 1 PROGRAMMING LANGUAGE DESIGN & SEMANTICS CS424 5 1 RENAISSANCE PHILOSOPHY. METHODS AND PRACTICES PH330 5 2 RINGS & FIELDS 1 MT341P 5 1 RINGS & FIELDS 2 MT344P 5 2 ROBOTICS & AUTOMATION CS422 5 1 STATISTICAL INFERENCE ST402 5 2 STATISTICAL MACHINE LEARNING ST404 5 2 STUDYING WOMEN PHILOSOPHERS PH216 5 2 UNIQUE ANIMALS? ANTHROPOLOGICAL CONCEPTS IN PHILOSOPHY PH205 5 2

Maynooth University Department of Computer Science,
Eolas Building
+ 353 1 708 3847
computerscience.department@mu.ie
www.maynoothuniversity.ie/computer-science
@MU_CompSci

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Our BSc Computational Thinking has been specifically designed to answer calls from industry for graduates with strong analytical competence, problemsolving skills and the ability to think critically. Graduates enjoy outstanding career prospects across a range of areas such as software development and analysis, mathematical and financial modelling, bioinformatics, cryptography and security.

Postgraduate study options currently include:

• MSc Geocomputation, MSc
• Computer Science (Software Engineering), PhD Computer
• Science (Research), MSc in Data Science and Analytics
• PhD Statistics/Data Science

Visit the Graduate Studies website for more information about postgraduate options.

For further information on Postgraduate options please go to the Graduate Studies site