Bachelor of Science in Data Science & Analytics
Curriculum
- 7 Sections
- 48 Lessons
- 78 Weeks
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- General Education Courses5
- Foreign language i: Choose one from the following1
- General Education Elective I2
- Foreign language ii: A continuation of Foreign Language I.1
- General Education Elective II2
- Data Science/ Computer Science/ IT Courses19
- 6.1DSA 1060 Introduction to Data Science
- 6.2DSA 1080 Programming for Data Science
- 6.3APT 1050 Database Systems
- 6.4APT 2060 Data Structures and Algorithms
- 6.5APT 3040 Object Oriented Analysis, Design & Programming
- 6.6DSA 2040 Data Warehousing and Mining
- 6.7DSA 2050 Data Science Methodology
- 6.8DSA 2020 Artificial Intelligence
- 6.9DSA 3020 Principles of Machine Learning
- 6.10DSA 3050 Business Intelligence and Data Visualization
- 6.11DSA 3030 Big Data Architecture
- 6.12DSA 4010 Big Data Analytics
- 6.13DSA 3900 Data Science Project Proposal
- 6.14DSA 4020 Natural Language Processing
- 6.15DSA 4030 Big Data Security and Ethics
- 6.16DSA 4050 Deep Learning and Computer Vision
- 6.17DSA 4060 Recommender Systems
- 6.18DSA 4900 Data Science Project Implementation
- 6.19DSA 4910 Data Science Internship
- Statistics/Mathematics Courses18
- 7.1MTH 1040 Linear Algebra
- 7.2STA1020 Probability and Statistics I
- 7.3MTH 1110 Calculus
- 7.4MTH 2215 Discrete Mathematics
- 7.5MTH 1050 Differential Equations
- 7.6MTH 2030 Numerical Analysis and its Applications
- 7.7STA 1040 Statistical Computing
- 7.8STA 2010 Probability and Statistics II
- 7.9MTH 2020 Optimization Techniques
- 7.10MTH 1060 Analytical and Computational Techniques
- 7.11STA 2030 Statistical Inference
- 7.12STA 2060 Stochastic Processes
- 7.13STA 3020 Multivariate Statistical Analysis
- 7.14STA 3010 Statistical Modeling
- 7.15STA 3040 Mathematical Modeling and Simulation
- 7.16MTH 3010 Mathematical Finance
- 7.17STA 3050 Time Series Analysis and Forecasting
- 7.18STA 4030 Bayesian Inference and Decision Theory
DSA 2050 Data Science Methodology
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