Why Study Doctor of Philosophy in Statistics at UNIMA
- This programme is accredited by the National Council for Higher Education (NCHE)
- You'll engage in a year-long paid work experience, and past students have had the opportunity to collaborate with esteemed organizations.
- You will be taught by experienced staff members with research and project experience in this subject area as shown in their profiles.
Teaching and learning
admission
Entry Requirements
Students are admitted into these programmes if they hold a Master's degree in Statistics or related disciplines obtained from accredited institutions of higher learning. Those with first class BSc honours degrees in Statistics are also admitted. Experience is not a substitute for these requirements.
How you're taught
Face to Face:
Traditional classroom learning which involves students and lecturer to directly interact and collaborate in real time discussions and hands on activities.
Online classes:
Some content is taught virtually and course materials, lectures, assignments, and discussions are done online mainly using moodle and google classroom.
View our learning modes
Teaching Staff
Dr. John Stephen Kauta ASSOCIATE PROFESSOR
Dr. Jupiter Shikunzi Simbeye SENIOR LECTURER
Dr. Patrick Ali ASSOCIATE PROFESSOR
Dr. Mwawi Mary Nyirenda-Kayuni SENIOR LECTURER
Dr. Nelson Christopher Dzupire SENIOR LECTURER
Dr. Milliward Maliyoni SENIOR LECTURER
Dr. Elias Peter Mwakilama ASSOCIATE PROFESSOR
Ms. Halima Sumayya Twabi LECTURER
Mr. Patrick Sawerengera LECTURER
Dr. Tsirizani Mwalimu Mumderanji Kaombe LECTURER
Miss. Fiskani Jane, Malisawa Kondowe LECTURER
Miss. Temwa Chimphepo LECTURER
Mr. Eric Sylvester Mwanandiye LECTURER
Mr. Donnex Julio Beyamu LECTURER
Dr. Jimmy Joseph Namangale ASSOCIATE PROFESSOR
Dr. Justin Chirima LECTURER
Mr. Javan otieno Juma LECTURER
Mr. Noel Mbotwa STAFF ASSOCIATE/ASSISTANT LECTURER
