Undergraduate
Programme Code:
07BAMS
Duration:
3.00
Mode of Study:
Full Time, Part Time
Accreditation:
NQF Level 7, Credits 402

Bachelor of Science in Applied Mathematics and Statistics

Course Overview

The Bachelor of Science in Applied Mathematics and Statistics provides a systematic and coherent introduction to the knowledge, principles, concepts, data, theories and problem-solving techniques of the Applied Mathematics and Applied Statistics discipline. The programme will enable students to acquire cognitive/intellectual skills, practical skills and key transferable skills and to apply these skills in solving Applied Mathematics and Statistics problems facing the public and private sectors, as well as the overall economy.

Admissions Requirements

In addition to the general admission requirements of the University, a candidate should have obtained a minimum B symbol in NSSC Mathematics or its equivalent. Candidates that obtained a C symbol in Mathematics will be required to sit for an entrance test in Mathematics. Candidates who left formal school eight (8) or more years earlier will be considered for admission under Rule GI2.3 in the NUST General Information and Regulations Yearbook.

Career Opportunities

Various positions in the Industry as Planner, Analyst, Statistician

Some of the Subjects You Will Study

Year 1
Semester 1

Course Title

Course Code

Prerequisite(s)

NQF Level

NQF Credits

 

 

 

 

 

Sets, Algebra and Trigonometry

SAT501S

None

5

12

Introduction to Applied Statistics

IAS501S

None

5

12

Probability Theory 1

PBT501S

None

5

12

                                                                                                                                                                                                      
Semester 2                                                         

Calculus 1

CLS502S

Sets, Algebra & Trig

5

12

 

Linear Algebra 1

LIA502S

Sets, Algebra & Trig

5

12

 

Financial Mathematics 1

FIM502S

None

5

12

 

                                                                                                                                                                                                      


Year 2
Semester 3

Statistical Inference 2

SIN601S

Statistical Inference 1

6

12

Linear Algebra 2

LIA601S

Linear Algebra 1

6

12

Financial Mathematics 2

FIM601S

Financial Mathematics 1

6

12

                                                                                 
Semester 4

Mathematical Programming                        MAP602S     Linear Algebra 1                                                           6            12

Applied Mathematical and Statistical        AMS602S     Computer User Skills                                                  6            12

Computing

Regression Analysis & ANOVA                     RAA602S       Statistical Inference 1                                                6            12

Ordinary Differential Equations                   ODE602S      Calculus 1                                                                        6            12

Demography                                                       DEM602S     None                                                                                  6            12

                                                                                                                                                                                                                    
Year 3
Semester 5

Real Analysis                                                       RAN701S       Calculus 2                                                                        7            12

Numerical Methods 1                                      NUM701S     Ordinary Differential Equations                              7            12

Time Series Analysis                                         TSA701S       Introduction to Applied Stats                                  7            12

Survey Methods and Sampling                    SMS701S      Introduction to Applied Stats                                  7            12

Techniques
Mathematical Modelling 1                            MMO701S   Ordinary Differential Equations                              7            12

Work Integrated Learning (WIL)                 WIL701S       All courses up to Semester 4                                  7            12

                                                                                                                                                                                                                                          
Semester 6

Mathematical Modelling 2

MMO702S

Mathematical Modelling 1

7

12

Design and Analysis of Experiments

DAE702S

Regression Analysis & ANOVA

7

12

Numerical Methods 2

NUM702S

Numerical Methods 1

7

12

Complex Analysis

CAN702S

Real Analysis

7

12

                                                                                   

Plus ONE of the following Elective courses:

Mechanics

MCS702S

  Ordinary Differential Equations 

7

12

Applied Econometric Modelling       

AEM702S

  Regression Analysis & ANOVA

7

12

About NUST

  • Welcome to NUST
  • Sonja Samuels: BAM September 2017
  • Faculty of Natural Resources and Spatial Sciences
  • Dr. Kwaambwa calls for use of Miracle tree
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The Namibia University of Science and Technology welcomes all queries and suggestions via our contact page. For detailed enquiries please fill in our Advanced Enquiries form on the main Enquiries page.

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