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Industrial Engineering Data Science Programmes


Introduction

Data science is the scientific investigation that employs innovative approaches and algorithms, most notably machine learning algorithms, for processing and analysing data. Data Science technologies can be applied to both small and big data, of various types such as relational, images, video, audio, and text. Big data constitutes extremely large data sets that may be analysed computationally to reveal patterns, trends and associations, especially relating to human behaviour and interactions. The data science programmes focus on enabling students to develop innovative optimisation and machine learning techniques to produce novel, efficient and robust data science technologies, for use in Industrial Engineering, Engineering Management and related applications. Examples include forecasting, customer segmentation and targeted marketing, production quality control, supply chair performance prediction and process monitoring.

The Programmes

The Department of Industrial Engineering is hosting two data science related programmes, namely the MEng (Structured) and the Postgraduate Diploma.

The MEng programme encompasses five core data science modules, two elective modules, a specialization module, a module in professional communication, as well as a final 60-credit research assignment.

The postgraduate diploma, on the other hand, requires students to complete six core data science modules, two generic modules and a professional communication module.

The module duration is typically nine weeks. A lecture block week will be presented in the 3rd week, and students must attend this week full time. The block week takes place at Stellenbosch University or can be attended online for students who cannot travel to Stellenbosch. Beyond the lecture week no further contact time will be required.

Modules offered by other departments for the programme can have a different format/presentation mode.

A student may choose to enrol for the programme as a fulltime or a part-time student, where the main difference is the length of time allowed to enrol. It is expected of a fulltime student to complete the postgraduate diploma in one year or the MEng programme in two years. A part-time student, on the other hand, is expected to complete the postgraduate diploma in two years and the MEng programme in three years. Once you commence your studies, a change from full time to part time is not possible.

Application Process

Applications for the next year intake year commences in April of the current year. Applications must be submitted via the University’s postgraduate website. Current students can apply from July onwards.

The application closing dates for the programme is

  • 30 November for South African candidates, and
  • 30 September for international candidates.

Please note that the programmes are quota-managed and have a limited number of places available for students.

Fees

Fees are adjusted annually. For a provisional quotation of fees, visit the student fees website. Formal requests for quotes can be directed to student accounts.

Fees differ for South African and International students. It is recommended that you acquaint your self with the fee structure, especially the yearly registration fee as well as the module fees.

More information on postgraduate fees are available on the University's postgraduate website.

Note that there are no scholarships available for these programmes. For more information on postgraduate funding and support, visit the funding support website.

Enquiries

For general enquiries about the programme and any enquiries regarding registration, please send enquiries to email, or the programme manager, Dr Martina Frei.

Fee enquiries and requests for quotes can be directed to student accounts or Mr Sean Davidse.

Schedule for 2022

Find below a schedule for the Data Science modules for 2022.

Core Data Science modules

Modules Dates
14191 Programming in R (Eng) 774 24-28 Jan 2022
14190 Data Science (Eng) 774 & 874 14-18 Mar 2022
14022 Applied Machine Learning 774 & 874 3-9 May 2022
14020 Optimisation (Eng) 774 & 874 20-24 Jun 2022
14189 Big Data Technologies (Eng) 774 & 874 8-15 Aug 2022
13856 Data Analytics (Eng) 774 & 874 19-23 Sep 2022

Specialization Modules

Modules Dates
31496 Deep Learning (Industrial Engineering 874) 24-28 Oct 2022
40622 Advanced Design 9-10 Mar; 28-29 Mar 2022
13014 Robotics 17-18 Feb; 31 Mar-01 Apr 2022
62962 Advanced Dynamics 3-4 Mar; 13-14 Apr 2022

Elective Modules and Generic Modules

Modules Dates
11748 Adv. Topics in Eng. Mgt 873 & Ind. Mgt 744 21-25 Feb 2022
36323 Numerical Methods TW876 28 Feb - 1 Mar; 11-12 Apr 2022
51993 Project Management 713 & 873 6-10 Jun 2022
58157 Project Economics and Finance 812 30 May - 3 Jun 2022

Additional Compulsory Module

Modules Dates
59447 Professional Communication 771 & 871 selfstudy with deadline 31 Mar 2022

Preliminary Schedule for 2023

Find below a preliminary schedule for the modules for 2023. Be aware that there is overlap between the modules.

Schedule for 2023

The Department

For more information on the Department of Industrial Engineering, visit the department's website.