Master of Science in Applied Mathematics (MSc. Applied Math)
Objective of the Programme
The objectives of the programme are:
 To provide skills for high quality research and teaching in the field of Applied Mathematics.
 To raise a critical mass of mathematical modellers in the region to popularize and meet challenges of computational and mathematical applications to the industry and society.
 To support the application of the methods and results of Applied Mathematics in the areas of industry.
 To facilitate efforts of researchers in biomathematics and modelling and draw them towards interdisciplinary research.
 To have a combined effort at solving common regional problems such as common emerging and reemerging tropical diseases.
Resources
 Staffing
The Department of Mathematics has several members of Staff with PhDs in the areas of specialisation proposed in the programme (see attached list). Members of Staff from other schools in the disciplines such as computer science, economics, statistics, biology, medicine and agriculture will also participate in the programme since the programme is interdisciplinary in nature.
(b) Available Resource
The Department of Mathematics is hosting a faculty computer lab of 50 computers. They are housed in room 204 which was provided by the department. Students who enrol on this programme will be provided with office space.
(c) Sustainability
The funds raised from the private students will be sufficient to run the programme at all times. The programme shall admit 20 students (18 East Africans and 2 others). The fees from the programme will cater for departmental running costs and paying of local staff involved in the teaching and supervision of students.
Tuition fees per year will be charged as follows:
East Africans Ug.Shs.5, 200,000 per year
Others Ug.Shs.6, 500,000 per year
(d) Tools, Equipment and Materials
The following tools, equipment and materials will be used in the teaching: LCD projector, computers, chalkboards, white boards, markers and chalk.
General Regulations
The programme shall be governed by the general regulations and statutes of Makerere University. The general regulations of the College of Natural Sciences shall also apply.
Admission Requirements
Admission will be open to applicants from all countries.
The main requirement is that the person to be admitted should possess any of the following from a recognized university.
 Mathematics major in Bachelor of Science, Bachelor of Science with Education and related degree program of at least a good second class division or its equivalent.
 A Mathematics minor in any other degree program with a good second class upper of a CGPA 4.0 and above or its equivalent
Structure of the New MSc. Applied Mathematics Programme
Detailed Course Description in terms of Coverage
SEMESTER I 
LH 
TH 
PH 
CH 
CU 
Remark 







Core Courses 






MTA7101: Measure and Probability 
45 
10 
20 
60 
4 
Old 
MTA7102: Applied Functional Analysis 
45 
30 
0 
60 
4 
Old 
MTA7103: Partial Differential Equations 
45 
30 
0 
60 
4 
Old 
Electives (Choose one track and at least two Courses from that track)
Biomathematics track
MTA7104: Differential Equations and Dynamical Systems 
45 
10 
20 
60 
4 
Old 
MTA7105: Essential Mathematical Biology 
45 
10 
20 
60 
4 
New 
MTA7106: Computational Neuroscience 
45 
10 
20 
60 
4 
Old 
MTA7107: Mathematical Physiology 
45 
10 
20 
60 
4 
Old 
Financial Mathematics Track
MTA7108: Introduction to Mathematics of Finance 
45 
10 
20 
60 
4 
Old 
MTA7109: Stochastic Calculus 
45 
10 
20 
60 
4 
Old 
MTA7110: Operations Research and Optimization Theory 
45 
10 
20 
60 
4 
Old 
MTA7111: Statistical Modelling 
45 
10 
20 
60 
4 
Old 
MTA7112: Economic Modelling 
45 
10 
20 
60 
4 
Old 
MTA7113: Time Series and Forecasting 
45 
10 
20 
60 
4 
Old 
Mathematical Statistics Track
MTA7114: Fundamentals of Probability and Statistics 
54 
0 
12 
60 
4 
New 
MTA7113: Time Series and Forecasting 
45 
10 
20 
60 
4 
Old 
MTA7111: Statistical Modelling 
45 
10 
20 
60 
4 
Old 
MTA7115: Computational Stochastic Processes 
52 
0 
16 
60 
4 
New 
MTA7112: Economic Modelling 
45 
10 
20 
60 
4 
Old 
MTA7116: Multivariate Analysis 
50 
20 
0 
60 
4 
New 
Computational Science Track
MTA7117: Scientific Computing 
45 
10 
20 
60 
4 
New 
MTA7118: Advanced Numerical Programming 
45 
10 
20 
60 
4 
New 
MTA7119: The Finite Element Method 
45 
10 
20 
60 
4 
New 
MTA7120: Fluid Dynamics 
45 
30 
0 
60 
4 
New 
MTA7110: Operations Research and Optimization Theory 
45 
10 
20 
60 
4 
Old 
TOTAL MINIMUM NUMBER OF CU FOR SEMESTER I IS 20
SEMESTER II 
LH 
TH 
PH 
CH 
CU 
Remark 







Core Courses 






MTA7201: Numerical Linear Algebra 
45 
30 
0 
60 
4 
Old 
MTA7202: Numerical Methods for Partial Differential Equations 
45 
10 
20 
60 
4 
Old 
MTA7203: Computational Skills and Research methods 
45 
10 
20 
60 
4 
Old 
Electives (Choose at least two Courses from the track you chose in Semester one)
Biomathematics Track
MTA7204: Mathematical Epidemiology 
45 
10 
20 
60 
4 
Old 
MTA7205: Mathematical Immunology 
45 
10 
20 
60 
4 
Old 
MTA7206: Stochastic Processes 
45 
30 
0 
60 
4 
Old 
MTA 7220: Mathematical Ecology and Natural Resource Modelling 
45 
10 
20 
60 
4 
Old 
Financial Mathematics Track
MTA7207: Life Insurance Mathematics 
45 
10 
20 
60 
4 
Old 
MTA7208: NonLife Insurance Mathematics 
45 
10 
20 
60 
4 
Old 
MTA7209: Financial Mathematics 
45 
10 
20 
60 
4 
Old 
MTA7210: Control Theory 
45 
10 
20 
60 
4 
Old 
MTA7206: Stochastic Processes 
45 
30 
0 
60 
4 
Old 
Mathematical Statistics Track
MTA7211: Fundamentals of Bioinformatics 
45 
10 
20 
60 
4 
Old 
MTA7212: Bayesian Data Analysis 
45 
10 
20 
60 
4 
New 
MTA7213: Advanced Statistical Theory 
45 
10 
20 
60 
4 
New 
MTA7214: Machine Learning 
45 
10 
20 
60 
4 
New 
MTA7215: Applied Statistics and Big Data 
45 
10 
20 
60 
4 
New 
MTA7216: Medical Statistics 
54 
0 
12 
60 
4 
New 
Computational Science Track
MTA7210: Control Theory 
45 
10 
20 
60 
4 
Old 
MTA7217: Modelling and Perturbation Methods 
45 
10 
20 
60 
4 
New 
MTA7218: Nonlinear Optimization 
45 
10 
20 
60 
4 
New 
MTA7219: Computational Fluid Dynamics 
45 
10 
20 
60 
4 
New 
TOTAL MINIMUM NUMBER OF CU FOR SEMESTER II IS 20
SEMESTER III 
LH 
TH 
PH 
CH 
CU 
Remark 







Core Courses 






MTA8101: Seminar Series 
0 
30 
30 
30 
2 
Old 
TOTAL MINIMUM NUMBER OF CU FOR SEMESTER III IS 2
SEMESTER IV 
LH 
TH 
PH 
CH 
CU 
Remark 







Core Courses 






MTA8201: Dissertation 
0 
0 
240 
120 
8 
Old 
TOTAL MINIMUM NUMBER OF CU FOR SEMESTER IV IS 8
All course units except MTA8101: Seminar Series and MTA8201: Dissertation have 60 contact hours. All the courses are considered to weigh the same – none is more superior or more important than the other.