The Applied Statistics and Data Management study plan at Majmaah University is an accredited bachelor programme spanning about 4 years (8 academic levels), requiring 142 credit hours across 50 courses of required and elective study. The table below lists the courses and their credit hours for each level.
Level 118 credits
Code
Course
Credits
ENGD 111
English Grammar
3
ENGD 112
English Reading
3
ENGD 113
English Writing
3
ENGD 114
English Listening and Speaking
3
ENGD 115
English Vocabulary
3
MTHS 121
Differential Calculus
3
Level 217 credits
Code
Course
Credits
MTHS 122
Discrete Mathematics
3
STS 121
Introduction to Statistics
3
DSC 121
Introduction to Data Science
3
MTHS 131
Integral Calculus
3
MTHS 212
Mathematical Programming 1
3
UNIV-R
University Required
2
Level 317 credits
Code
Course
Credits
MTHS 214
Mathematical Programming 2
3
STS 132
Statistical Methods
3
STS 133
Introduction to Probability
3
MTHS 213
Advanced Calculus
3
DSC 211
Algorithms and Data Structures
3
UNIV-R
University Required
2
Level 418 credits
Code
Course
Credits
MTHS 221
Linear Algebra 1
3
STS 222
Statistical Programming Languages
3
STS 223
Regression Analysis
3
STS 211
Statistics and Probability
3
DSC 232
Data Engineering
3
STS 224
Time Series and Forecasting
3
Level 519 credits
Code
Course
Credits
DSC 233
Data Analysis
3
DSC 234
Databases
3
STS 235
Sampling and Nonparametric Methods
3
DSC 311
Machine Learning 1
3
STS 311
Linear Models
2
STS 322
Statistical Inference
3
ELEC-U
University Elective
2
Level 618 credits
Code
Course
Credits
DSC 312
Data Mining
3
DSC 323
Machine Learning 2
3
DSC 334
Big Data and Data Warehouses
3
STS 333
Survival Analysis
3
MTHS 323
Linear Programming
3
ELEC-D
Department Elective
3
Level 718 credits
Code
Course
Credits
DSC 411
Applications in Bioinformatics
3
STS 411
Multivariate Analysis
3
STS 422
Statistical Decision Theory
4
ASDM 421
Graduation Project 1
2
ELEC-D
Department Elective
2
ELEC-D2
Department Elective
2
ELEC-U
University Elective
2
Level 817 credits
Code
Course
Credits
ASDM 432
Graduation Project 2
3
ASDM 433
Field Training
3
DSC 432
Deep Learning
3
STS 423
Design of Experiments
4
ELEC-D
Department Elective
2
ELEC-D2
Department Elective
2
This plan is transcribed from the university's official source. Always confirm the plan approved for your own cohort before registering.
Official source