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Bachelor of Science (Applied statistics with Computing)

Course Structure

Goals of the Programme

The Applied Statistics with Computingprogramme is aimed at:

  • Producing graduates who are well grounded in the fundamentals of Mathematics /Applied Statistics and acquisition of the necessary skills in order to use their knowledge in a wide range of practical applications.
  • Developing creative thinking and the power of imagination to enable graduates work in research in academia and industry for broader application.

iii)  Accommodating their relevant fields in allied disciplines and to allow the graduates of Applied Statistics with Computing  to fit into an inter-disciplinary environment.

  • Relating the training of Applied Statistics with Computing graduates to the employment opportunities within and outside the country.
  • To equip students with a good understanding of the principles of Applied Statistics with Computing, aspects of which will be at the leading edgeof knowledge.
  • To produce Applied Statistics with Computing with the necessary skills for team work in an industrial and scientific research environment.

       YEAR II

       1STSEMESTER

  • STA 2112 – Mathematical Statistics I, 3 Credit Hours
  • STA 2113 – Operations Research I, 3 Credit Hours
  • STA 2114 – Introduction to Applied Statistics, 3 Credit Hours
  • STA  2115 – Calculus for Statistics II, 3 Credit Hours
  • MAT 2103 – Linear Algebra II, 3 Credit Hours
  • MAT 2105 – Ordinary Differential Equations I, 3 Credit Hours
  • REL 2100 – Philosophy and critical Thinking, 3 Credit Hours
  • ENS 2100 – Environmental Skill, 3 Credit Hours

        TOTAL   24 Hours 

       2NDSEMESTER

  • STA 2216- Financial Mathematics I, 3 Credit Hours
  • STA 2217 – Mathematical statistics II, 3 Credit Hours
  • STA 2218 – Principles of Actuarial Science, 3 Credit Hours
  • STA 2219 – Categorical Data Analysis, 3 Credit Hours
  • STA 2220 – Computational Methods and Data Analysis II, 3 Credit Hours
  • STA 2221 – Operations Research II, 3 Credit Hours
  • MAT 2203 – Real Analysis, 3 Credit Hours

       TOTAL   21 Hours 

       YEAR III

       1STSEMESTER

  • STA 3122 – Mathematical Statistics III, 3 Credit Hours
  • STA 3123 – Regression Analysis, 3 Credit Hours
  • STA 3124 – Theory of Estimation , 3 Credit Hours
  • STA 3125 – Statistical Methods and Data Analysis, 3 Credit Hours
  • STA 3126 – Financial Mathematics II, 3 Credit Hours
  • MAT 3103 – Real Analysis II, 3 Credit Hours

       ANY ONE ELECTIVE,

        TOTAL   21 Hours 

       2NDSEMESTER

  • STA 3227 – Sampling Theory and Methods I, 3 Credit Hours
  • STA 3228 – Design and analysis of Experiments I, 3 Credit Hours
  • STA 3229 – Testing of Hypotheses, 3 Credit Hours
  • STA 3230 – Industrial attachment, 3 Credit Hours
  • MAT 2205 – Numerical Analysis I, 3 Credit Hours
  • BBM 3200 – Entrepreneurial and Work Skills, 3 Credit Hours

       ANY ONE ELECTIVE

       TOTAL   21 Hours 

        ELECTIVES

  • STA 3131 – Statistical Modeling I , 3 Credit Hours
  • STA 3132 – Econometrics, 3 Credit Hours
  • STA 3233 – Statistical Quality Control Methods, 3 Credit Hours
  • STA 3234 – Applied Statistical Inference, 3 Credit Hours

        YEAR IV

        1STSEMESTER

  • STA 4135 – Applied Time Series Analysis, 3 Credit Hours
  • STA 4136 – Measure and Probability, 3 Credit Hours
  • STA 4137 – Statistical Demography, 3 Credit Hours
  • STA 4138 – Statistical Computing, 3 Credit Hours
  • STA 4139 – Design and Analysis of Experiments II               3
  • STA 4140 – Project in Statistics ,6 Credit Hours
  • STA 4141 – Bayesian Inference and Decision Analysis, 3 Credit Hours

        TOTAL   24 Hours 

       2NDSEMESTER

  • STA 4242 – Biometry Methods, 3 Credit Hours
  • STA 4243 – Stochastic Processes, 3 Credit Hours
  • STA 4244 – Sampling Theory and Methods II, 3 Credit Hours
  • STA 4245 – Survival Analysis, 3 Credit Hours
  • STA 4246 – Multivariate Analysis, 3 Credit Hours

        ANY TWO ELECTIVES      

  • STA 4247 – Statistical modeling II, 3 Credit Hours
  • STA 4248 – Risk Theory, 3 Credit Hours
  • STA 4249 – Non- Parametric and Robust Methods, 3 Credit Hours
  • STA 4250 – Statistics for National Planning, 3 Credit Hours

        TOTAL   21 Hours