NUST eLearning

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.

Dear Students, Welcome to this vital and exciting journey into the world of maternal and early childhood nutrition—where science meets compassion, and knowledge translates into lifelong health outcomes.

In this course, we’ll explore how nutrition shapes the earliest stages of life—from the moment of conception through infancy. You’ll learn how physiological changes, nutritional needs, and lifestyle factors intertwine to influence maternal well-being and foetal development. Together, we’ll uncover not only what to teach but how to make it matter—for every mother and child.