Programme Type : Undergraduate Programme Duration : 3 Years Academic Unit : College Of Natural And Applied Sciences
Programme Descriptions
The BSc. MaSt is a three year programme (six semesters) and produces a graduate with major in both mathematics and Statistics. To graduate from the programme, a candidate must earn a total of 352 credits from core courses and a minimum of 36 elective credits. In addition a candidate must complete a compulsory 8-week practical training is taken at the end of second year and carrying 8 credits.To graduate from the programme, a candidate must therefore get a minimum of 388 credits.
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Code |
Course Title |
Core/Elective |
Credits |
|
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FIRST YEAR |
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First Year: Semester I |
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MT 100 |
Foundations of analysis |
Core |
12 |
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MT 127 |
Linear algebra I |
Core |
12 |
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ST 113 |
Basic Statistics |
Core |
12 |
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FN 100 |
Principles of Microeconomics |
Core |
12 |
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DS 112 |
Development Perspectives I |
Core |
12 |
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MT 114 |
Computer programming |
Core |
12 |
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Total Credit: Year I: Semester I |
72 |
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First Year: Semester II |
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DS 113 |
Development Perspectives II |
Core |
12 |
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MT 120 |
Analysis I: Functions of a Single Variable |
Core |
12 |
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MT 135 |
Ordinary Differential Equations |
Core |
12 |
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ST 114 |
Probability Theory I |
Core |
12 |
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FN 101 |
Principles of Macroeconomics |
Core |
12 |
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Total Credit: Year I: Semester II |
60 |
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SECOND YEAR |
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Second Year: First Semester I |
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MT 200 |
Analysis II: Functions of several variables |
Core |
12 |
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MT 225 |
Partial Differential Equations I |
Core |
12 |
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ST 212 |
Statistical Inference I |
Core |
12 |
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ST 218 |
Applied Statistics I |
Core |
12 |
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ST 210 |
Probability Distributions I |
Core |
12 |
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Total Credit: Year II: Semester I |
60 |
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Second Year: Second Semester II |
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MT 274 |
Numerical analysis I |
Core |
12 |
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MT 278 |
Linear programming |
Core |
12 |
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ST 211 |
Probability Distributions II |
Core |
12 |
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ST 219 |
Applied Statistics II |
Core |
12 |
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Total Credits: Year II, Semester II |
48 |
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THIRD YEAR |
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Year III: Semester I |
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MT 340 |
MT 340: Analysis 4-Real Analysis |
Core |
12 |
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MT 357 |
MT 357: Abstract algebra |
Core |
12 |
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ST 310 |
ST 310: Statistical Inference II |
Core |
12 |
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ST 316 |
ST 316: Statistical Quality Control Management |
Core |
12 |
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MT 398 |
MT 398: Practical Training |
Core |
8 |
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Total Credits: Third Year: Semester I |
56 |
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Third Year: Semester II |
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MT 310 |
Analysis 3: Complex Analysis |
Core |
12 |
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MT 360 |
Functional Analysis |
Core |
12 |
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ST 318 |
Sampling Theory and Methodology |
Core |
12 |
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ST 321 |
Regression Analysis |
Core |
12 |
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MT 389 |
Project |
Core |
8 |
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Total Credits: Third Year, Semester II |
56 |
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Students to choose optional courses from the following courses
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Courses Code |
Course Title |
Core/Elective |
Semester |
Credits |
|
CL 107 |
Communication Skills |
Elective |
1 |
12 |
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MT 147 |
Discrete Mathematics |
Elective |
2 |
12 |
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ST 118 |
Time Series and Index Numbers |
Elective |
1 |
12 |
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ST 220 |
Basic Demographic Methods |
Elective |
1 |
12 |
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MT 265 |
Mathematical Computing |
Elective |
1 |
8 |
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MT 227 |
Linear Algebra II |
Elective |
2 |
12 |
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MT 266 |
Rigid Body Mechanics |
Elective |
2 |
8 |
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ST 217 |
Probability Theory II |
Elective |
2 |
12 |
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ST 221 |
Population Dynamics |
Elective |
2 |
12 |
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MT 375 |
Vector Analysis |
Elective |
2 |
12 |
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MT 378 |
Queuing theory and inventory models |
Elective |
1 |
12 |
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MT 348 |
Integer and non-linear programming |
Elective |
1 |
12 |
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ST 319 |
Design & Analysis of Experiments |
Elective |
1 |
12 |
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St 326 |
Survival Models |
Elective |
1 |
12 |
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MT 358 |
Graphics and network optimization |
Elective |
2 |
12 |
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MT 374 |
Numerical analysis II |
Elective |
2 |
12 |
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MT 346 |
Fluid Mechanics |
Elective |
2 |
12 |
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MT 370 |
Topology |
Elective |
2 |
12 |
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MT 380 |
Number Theory |
Elective |
2 |
12 |
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ST 324 |
Linear Models |
Elective |
2 |
12 |
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ST 325 |
Mathematical Demography |
Elective |
2 |
12 |
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ST 311 |
Multivariate Normal Distribution |
Elective |
2 |
12 |
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ST 312 |
Stochastic Processes |
Elective |
2 |
12 |