Bachelor of Science in Information Technology: Data Science

Bachelor of Science in Information Technology
Programme Type: Degree
SAQA ID: 120690
Faculty: Technology
Available Study Modes

Programme Overview

Next Start Dates Based on applicable nearest academic block start dates.
Supported Campuses Campuses listed are where this programme is offered. For online modes, campuses are access points for student services only.
Duration Duration varies by study mode.
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Programme details

Be at the forefront of the future world of work.
The specialised nature of this degree prepares you for work in many areas in the Information Technology industry that are related to data analysis, big data, statistical and predictive reporting.
Data Science is a branch of Information Technology that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured, semi-structured and unstructured data.
Students will be equipped with the concepts behind statistics, data analysis, machine learning and related methods in order to understand and analyse actual phenomena with data. Data Science does require programming tools.
Hence, this qualification will help students achieve the above technical know-how using Python.
You will also develop essential skills for the world of work, such as analytical and abstract thinking, effective decision-making, self-discipline, being innovative, adapting to change, working in teams and communicating effectively.

Entry Requirements Important

South African National Senior Certificate (NSC) with Bachelor’s degree pass.
Or National Certificate (Vocational) Level 4 issued by the Council of General and Further Education and Training with a Bachelor’s degree pass.
Or letter or certificate confirming an exemption from Universities South Africa (USAf) for any other school-leaving results.
Or completion of a Bachelor’s degree.
Or completion of the relevant Foundation Programme along with a letter or certificate of exemption from Universities South Africa (USAf).
Or completion of a relevant Higher Certificate.
Or completion of the relevant Eduvos Access Programme.

 

AND

50% or above for Grade 12 Mathematics.
Notes: A student with Mathematics Literacy (50% or more) or with Mathematics (less than 50%, but greater than or equal to 30%) is required to register for and complete Maths for Computing (ITMCA0) before attempting Mathematics 1A (ITMTA1).

Pricing

From R75 395 per year (based on full settlement payment option) - excluding hardware/software requirements. Please consult the fee structure for additional information.

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Graduates of a BSc IT (Data Science) programme are well-prepared for a variety of roles in the data science and analytics field, such as:


Business Intelligence Analyst
Data Scientist, Data Analyst, Data Engineer
Machine Learning Engineer
Quantitative Analyst, Predictive Analyst, Statistician
Systems Analyst, Database Administrator, Network 
Administrator
Technical Support Specialist, Cloud Computing 
Specialist
IT Project Manager, IT Consultant
Entrepreneur/Startup Founder

YearModules
Year 1

Students are introduced to the fundamental principles of BSc IT (Data Science). 


AI Ethics and Privacy
Cloud Based Technologies
Computer Network and Security*
Computer Network Technologies**
Computer Skills (Microsoft)
Introduction to Information Systems
Introduction to Programming
Linux-based Operating System
Mathematics 1A & 1B
Non-Technical Skills for IT Professionals
Procedural Programming

* Optional: A+ CompTIA Certification Voucher
** Optional: Network+ CompTIA Certification Voucher

Year 2

Students develop a high level of expertise and competence in the domain of BSc IT (Data Science).


Artificial Intelligence Techniques
Data Structures and Algorithms in Python
Database Systems
Linear Algebra with Applications
IT Project Management
Machine Learning Algorithms
Network Security
Probability and Statistics
Scientific Computing in Python
Web Server Management

Year 3

Students develop a high level of competence and 
specialised knowledge in the discipline of BSc IT (Data Science).


4IR Technologies
Business Management and Entrepreneurship
Object Oriented Systems Analysis and Design
Operating Systems
Project: Data Science
R Programming for Data Science
Research Design and Methodology
Sensors Data Management, IoT Mining and 
Analytics
Accredited by the Higher Education Quality Committee (HEQC) of the Council on Higher Education (CHE).
Registered with the South African Qualifications Authority (SAQA).

View all Eduvos institutional accreditations →

International students are welcome to apply for this programme. For international student requirements please kindly check International Students Admissions.

Accepting applications from:

AngolaBahamasBahrainBangladeshBarbadosBelizeBotswanaBruneiBurundiCambodiaCameroonCanadaColombiaCyprusDR CongoDominicaEritreaEswatiniEthiopiaFijiGabonGambiaGhanaGrenadaGuyanaIndiaIrelandIsraelItalyJamaicaJordanKenyaKiribatiKuwaitLesothoLiberiaMalawiMalaysiaMaldivesMaltaMarshall IslandsMauritiusMicronesiaMozambiqueMyanmarNamibiaNauruNetherlandsNigeriaOmanPakistanPalauPapua New GuineaPhilippinesQatarRwandaSaint LuciaSamoaSeychellesSierra LeoneSingaporeSolomon IslandsSouth AfricaSouth SudanSri LankaSudanSwazilandTanzaniaTongaTrinidad and TobagoTuvaluUgandaUAEUnited KingdomUnited StatesVanuatuZambiaZimbabwe

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