- Lecturer: Prof Edosa Omoregie
NUST eLearning
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- Lecturer: Rodney April
- Lecturer: Maria Indongo
- Lecturer: Oscar Kaveru
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Augustus Stephanus
- Lecturer: Prof Maxwell Chufama
- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Dr Africa Makasi
- Lecturer: Rebecca Mujazu
- Lecturer: Cephas Pahla
- Lecturer: Dr Erisher Woyo
- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Magdaleena Nambala
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Magdaleena Nambala
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Bernadette Cloete
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais
- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Salomo Tjitamunisa

Introduces marketing as a powerful tool to provide value to consumers through innovative products, services, ideas and experiences. Engages in critical discourse of the historical and emerging marketing context through lectures, discussions, critiques and videos. Students will have an opportunity to be trained to acquire the knowledge and develop the mindset needed to become a marketer who provides superior value in the marketplace.
- Lecturer: Lydia Heelu
- Lecturer: Loide Moombola
- Lecturer: Kalsen Neliwa
- Lecturer: Bernadette Cloete
- Lecturer: Dr Indepentia De Waldt
- Lecturer: Maria Indongo
- Lecturer: Prof Maxwell Chufama
- Lecturer: Brenda Kahuikee
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Rosina Shikongo
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Salomo Tjitamunisa
- Lecturer: Adri Smith
- Lecturer: Salomo Tjitamunisa
- Lecturer: Dr Kwabena Abrokwah-Larbi
- Lecturer: Cherley Du Plessis
- Lecturer: Lydia Heelu
- Lecturer: Maria Indongo
- Lecturer: Sisi Kaapehi
- Lecturer: Brenda Kahuikee
- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Clemens Kazondovi
- Lecturer: Rosina Shikongo
- Lecturer: Lydia Heelu
- Lecturer: Beatrice Mutonga
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Jeremia Amutenya
This course will prepare students for advanced research by examining how to plan, conduct and report on empirical investigations with an emphasis on data science within an application domain (e.g., NLP, Finance, Healthcare, Agriculture, and Telecommunications). It will also introduce students to practical but scientific research work, and to encourage independent academic and/or commercial research among students. The overall outcome is to develop novel solutions to data science-related problems and communicate the findings (concepts, designs and techniques) effectively and professionally in accordance with NUST requirements.
Students have to submit three (3) Progress Reports during the year of Thesis, using the link provided.
Due dates are: 17 April, 17 July and 13 November for Report No1, No2 and No3 respectively.
- Lecturer: Dr. Richard Maliwatu
- Lecturer: Prof Hippolyte Muyingi
- Lecturer: Stephen Visagie
- Lecturer: Martin Gonzo
- Lecturer: Edwig Shingenge