BSC BACHELOR OF DATA SCIENCE

Discover what the data that surrounds us actually tells us with MH207. Data science is the science of collating, managing, analysing, visualising and understanding data. It's the key to unlocking the hidden wisdom stored in the huge volumes of data present in today's world.

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Qualification
Bachelor Of Science Degree
CAO Points
413
CAO/MU Apply code
MH207
Award Type and NFQ level
UNDERGRADUATE DEGREE (8)
Study Mode
Full time
Closing Date
01 February 2027
Jump to
CAO Hub

Overview

This degree focuses on the science of collating, managing, analysing, visualising and understanding data. Data science is key to unlocking the hidden wisdom that is stored in the vast amounts of data available in today’s world.

In this degree you will learn to appreciate the overlap between eliciting valuable information from data through statistical reasoning and managing databases via complex manipulations.

If you want to play a central role in solving the world’s critical problems through data or play an influential role in developing the next generation of Artificial Intelligence, then this degree programme is for you.

Over the course of this programme, studying Computer Science, Mathematics and Statistics, students become equipped with skills including:

  • collecting and managing large volumes of raw data
  • developing statistical models and understanding their mathematical underpinnings
  • unlocking valuable information stored within local, national and global

Course structure

Duration: 4 years

First year

  • Students take a specialised Data Science subject alongside Computer Science, Mathematics and choose one other subject from Engineering Science or (additional) Computer Science

Second year

  • Statistics, Computer Science and Mathematics

Third year

  • Statistics and Computer Science

Fourth year

  • Statistics and Computer Science
  • Students undertake two capstone projects

There is a potential transfer opportunity into this degree from MH201.

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.
Important: The information on this page is for prospective students, MU current students and staff should use Programme Directory.

Year 1

CS1V30 - Computer Science

Credits: 30  |  Compulsory

Computer Science modules

Module

Code

Credits

Semester

Compulsory

CS192

7.5

2

N

CS181

7.5

1

Y

CS182

7.5

2

Y

CS191

7.5

1

N

DS1F15 - Data Science

Credits: 15  |  Compulsory

Data Science modules

Module

Code

Credits

Semester

Compulsory

DS151

7.5

1

Y

DS152

7.5

2

Y

MT1SF15 - Mathematics

Credits: 15  |  Compulsory

Mathematics modules

Module

Code

Credits

Semester

Compulsory

MT101SC

5

1

Y

MT102SC

5

2

Y

MT113SC

5

Year-Long

Y

GE1F15 - Engineering Science

Credits: 15  |  Not compulsory

Engineering Science modules

Module

Code

Credits

Semester

Compulsory

EE121

7.5

1

Y

EE123

7.5

2

Y

Year 2

CS2F20 - Computer Science

Credits: 20  |  Compulsory

Computer Science modules

Module

Code

Credits

Semester

Compulsory

CS210

5

1

Y

CS211

5

2

Y

CS285

5

1

Y

CS240

5

2

Y

MT2F20 - Mathematics

Credits: 20  |  Compulsory

Mathematics modules

Module

Code

Credits

Semester

Compulsory

MT201S

5

1

Y

MT202S

5

2

Y

ST221

5

1

Y

MT216C

5

2

Y

ST2F20 - Statistics

Credits: 20  |  Compulsory

Statistics modules

Module

Code

Credits

Semester

Compulsory

ST201

5

1

Y

ST202

5

2

Y

ST204

5

2

Y

ST203

5

1

Y

Year 3

CS3DDM - Computer Science

Credits: 30  |  Compulsory

Computer Science modules

Module

Code

Credits

Semester

Compulsory

CS320

5

1

Y

CS245

5

2

Y

CS325

5

1

Y

CS265

5

1

Y

CS242

5

2

Y

CS230

5

2

Y

ST3DM - Statistics

Credits: 30  |  Compulsory

Statistics modules

Module

Code

Credits

Semester

Compulsory

ST308

5

2

Y

ST302

5

1

Y

ST304

5

2

Y

ST303

5

1

Y

ST301

5

1

Y

ST306

5

2

Y

Year 4

CS4DM - Computer Science

Credits: 30  |  Compulsory

Computer Science modules

Module

Code

Credits

Semester

Compulsory

CS433

5

1

N

CS430

5

1

N

CS404

5

1

N

CS425

5

2

N

CS427

5

2

N

CS426

5

2

N

CS410

5

1

N

CS416

5

1

N

CS423

5

2

N

CS460

5

Year-Long

Y

CS356

5

1

N

CS401

5

1

N

CS417

5

2

N

CS402

5

2

N

CS424

5

1

N

CS310

5

1

N

CS422

5

1

N

CS357

5

1

N

CS290

5

2

Y

ST4DSDM - Data Science

Credits: 30  |  Compulsory

Data Science modules

Module

Code

Credits

Semester

Compulsory

ST403

5

1

Y

ST405

5

1

N

MT412C

5

2

N

ST401

5

1

Y

ST402

5

2

Y

ST404

5

2

Y

DS406

5

2

Y

After Graduation

Data literacy is one of the most highly sought after skills by employers in today’s data driven world, be it in business, science, health or social sciences and as such, graduates with data science skills are in high demand and are extremely attractive to employers.

Graduates have the power to make the world a better place through channelling their analytical skills to solving global problems such as climate change, developing new drugs or eliminating world hunger.

Employment opportunities across a wide range of fields (science, health, business etc.) are abundant for graduates of this degree programme.

Entry Requirements

Leaving Certificate Applicants

Required to present (as a minimum): 2H5 & 4O6/H7, Irish, English & a Science subject (one of Agricultural Science, Applied Mathematics, Biology, Chemistry, Computer Science, Physics, or Physics with Chemistry) & O1/H5 Mathematics.

DARE

Disability Access Route to Education (DARE) is an alternative entry route to third level education for school-leavers whose disability affected their second level education.

HEAR

The Higher Education Access Route (HEAR) is a pathway to third level education for school-leavers from disadvantaged backgrounds.

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

This table displays the requirements for Leaving Certificate applicants.

Entry requirements table

Subject

Required

Ordinary Level Grade

Higher Level Grade

Irish

Yes

O6

H7

English

Yes

O6

H7

Language

No

N/A

N/A

Mathematics

Yes

O1

H5

Science

Yes

O6

H7

* This course requires 2 additional subjects.

  1. EU / EFTA Applicants - Further information can be found by navigating to our EU/EFTA applicant information page.
  2. International Applicants - International (Non-EU) applicants for undergraduate programmes submit their application online via our online application portal. Applications open on 14th October 2026 and close on 1st July 2027. For further information, please navigate to our International applicant page.

Mature applicant information

Mature applicants are assessed separately to school-leavers. Mature applicants are 23 years or older by 1 January in the year of entry.

For part-time degrees the mature age is 21.

Visit our mature applicant information page - tab 3 on this 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 support for any required written exercise/interview/online video audition which may form part of your application assessment, you must complete an online request form and submit supporting documentation by 15 March 2027. Applications for alternative examination accommodation cannot be considered after this deadline.

Visit the Access Office for more information on available supports and required documentation.

Mature applicant deadline: 01 February 2027

There is a potential transfer opportunity into this degree from the BSc Bachelor of Science MH201.

How to apply

Apply online to the CAO (Central Applications Office)

The application process depends on the type of applicant you are.

Categories of applicant:

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

Learn more about undergraduate applications and access routes.

Got a question about this course?

Maynooth University Department of Mathematics and Statistics
www.maynoothuniversity.ie/mathematics-and-statistics

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