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BSC COMPUTATIONAL THINKING

Qualification: BACHELOR OF SCIENCE DEGREE
Award Type and NFQ Level: UNDERGRADUATE DEGREE (8)
Course code: COMPT
CAO/PAC code: MH603
Points: 532
QQI:
Closing date: 01 July 2024

	Details
	Study Computer Science, Mathematics and Philosophy in an accelerated three-year Bachelor of Science degree. Learn how to combine human creativity with the power of computers to solve problems. Examine the essentials of theoretical computer science and their mathematical foundations. You will have the option of undertaking a 1-year work placement or study abroad between 2nd and 3rd year (subject to availability). Why choose this degree? Acquire hands-on programming skills, advanced problem-solving techniques, and learning to think logically and analytically when approaching complex problems developing your creativity and communication skills. Study Philosophy (seeking to understand and analyse human knowledge and thinking) and Advanced Mathematics. The Department of Computer Science at Maynooth University was founded in 1987 and is located in the Eolas Building, a €20M state-of-the-art ICT hub. Our laboratories and equipment provide excellent facilities for practical work and all our courses include a mix of lectures and lab work.

Details

Study Computer Science, Mathematics and Philosophy in an accelerated three-year Bachelor of Science degree.
Learn how to combine human creativity with the power of computers to solve problems.
Examine the essentials of theoretical computer science and their mathematical foundations.
You will have the option of undertaking a 1-year work placement or study abroad between 2nd and 3rd year (subject to availability).

Why choose this degree?

Acquire hands-on programming skills, advanced problem-solving techniques, and learning to think logically and analytically when approaching complex problems developing your creativity and communication skills.
Study Philosophy (seeking to understand and analyse human knowledge and thinking) and Advanced Mathematics.
The Department of Computer Science at Maynooth University was founded in 1987 and is located in the Eolas Building, a €20M state-of-the-art ICT hub. Our laboratories and equipment provide excellent facilities for practical work and all our courses include a mix of lectures and lab work.

Entry requirements

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

This course requires 3 additional subjects

Mature students - Information:

Mature Applicants

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 2024 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.

Mature students - Closing dates for application:
01 February 2024

	Additional information
	Leaving Certificate Applicants Required to present (as a minimum): 2H5 & 4O6/H7 and O6/H7 in Irish, English & H2 Mathematics. MH603 Round 1 Points 2023: 432 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.

Additional information

Leaving Certificate Applicants

Required to present (as a minimum): 2H5 & 4O6/H7 and O6/H7 in Irish, English & H2 Mathematics. MH603 Round 1 Points 2023: 432

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.

	How to apply
	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

How to apply

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

Course structure

Duration: 3 year accelerated degree

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
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
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
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
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

Contacts

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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	Career and postgraduate options
	Career options: 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 Postgraduate options: Visit the Graduate Studies website for more information about postgraduate options. For further information on Postgraduate options please go to the Graduate Studies site

Career and postgraduate options

Career options:

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

Postgraduate options:

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

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