Mathematics, with an option in Statistics & Data Analysis (B.S.)

Core Curriculum (36 credits)

The science/ lab requirements of the core curriculum electives is satisfied by the collateral requirements of the major.

Main Concentration Requirements (33 credits)

Students need to take all of the following eleven 3-credit courses:

• CSCE 106/1001 - Fundamentals of Computing I (3 cr.)
• MACT 131/1121 - Calculus I (3 cr.)
• MACT 132/1122 - Calculus II (3 cr.)
• MACT 231/2123 - Calculus III (3 cr.)
• MACT 200/2131 - Discrete Mathematics (3 cr.)
• MACT 240/2132 - Linear Algebra (3 cr.)
• MACT 233/2141 - Differential Equations (3 cr.)
• MACT 401/4125 - Complex-Function Theory (3 cr.)
• MACT 431/4126 - Real Analysis I (3 cr.)
• MACT 432/4127 - Real Analysis II (3 cr.)
• MACT 403/4134 - Modern Algebra (3 cr.)

Collateral Requirements (13 Credits)

Students must take four 3-credit courses in addition to one lab.

• BIOL 104/1011 - Introductory Biology I (3 cr. + 1 cr. lab)
• BIOL 105/1012 - Introductory Biology II (3 cr. + 1 cr. lab)
• CHEM 105/1005 - General Chemistry I (3 cr.)
• CHEM 106/1006 - General Chemistry II (3 cr.)
• CHEM 115L/1015 - General Chemistry Laboratory (1 cr.)
• CHEM 116L/1016 - General Chemistry Laboratory (1 cr.)
• CSCE 110/1101 - Fundamentals of Computing II (3 cr.)
• CSCE 000/1102 - Fundamentals of Computing II Lab (1 cr.)
• CSCE 321/2202 - Analysis and Design of Algorithms (3 cr.)
• CSCE 000/2203 - Analysis and Design of Algorithms Lab (1 cr.)
• DSCI 000/1411 - Fundamentals of Data Science I (3 cr.)
• DSCI 000/1412 - Fundamentals of Data Science II (3 cr.)
• ENGR 000/2412 - General Programming Lab (1 cr.)
• PHYS 111/1011 - Physics 1: Classical Mechanics, Sound and Heat (3 cr.)
• PHYS 123L/1012 - General Physics Laboratory I (1 cr.)
• PHYS 112/1021 - Physics 2: Electricity and Magnetism (3 cr.)
• PHYS 124L/1022 - General Physics Laboratory II (1 cr.)

General Electives (18 credits)

Courses to be chosen in consultation with the advisor, excluding MACT 1111  and MACT 1112 .

Concentration Electives (30 credits)

Please refer to Groups A-D of courses described below.

For the Bachelor of Science in Mathematics: Students need to take each of the following:

• (3 credits) One course from Group A
• (6 Statistics credits) Either Both courses of Group B or (MACT 3224  and one course from Group C)
• (21 credits) to be chosen in consultation with the advisor. The courses in Group D are recommended electives with the following two conditions:

1. At least 9 credits must be taken from MACT courses.
2. The chosen courses must not overlap with the 6 Statistics credits chosen above. 

For the Bachelor of Science in Mathematics with Statistics and Data Analysis Option: Students need to take each of the following:

• (3 credits) One course from Group A 
• (6 credits) Both courses of Group B
• (12 credits) All four courses of Group C
• (3 credits) MACT 4232  
• (6 credits) Two other MACT or DSCI courses from Group D

Note: All Concentration Electives courses are chosen in consultation with the advisor. In particular, practical internships and selected topics courses need to be approved by the department.

Group A (Numerical):

• CENG 000/3113 - Numerical Methods (3 cr.)
• ENGR 313/3202 - Engineering Analysis and Computation I (3 cr.)
• MACT 304/3143 - Numerical Methods (3 cr.)
• PHYS 279/3241 - Computational Methods in Physics (3 cr. + 1 cr.)

Group B (Probability and Statistics):

• MACT 306/3211 - Applied Probability (3 cr.)
• MACT 307/3223 - Statistical Inference (3 cr.)

Group C (Advanced Statistics):

• DSCI 000/4413 - Analysis of Categorical Data (3 cr.)
• MACT 406/4212 - Stochastic Processes (3 cr.)
• MACT 427/4231 - Applied Regression Methods (3 cr.)
• MACT 429/4233 - Applied Multivariate Analysis (3 cr.)

Group D (Advanced Mathematics):

• CSCE 363/3611 - Digital Signal Processing (3 cr.)
• CSCE 422/4201 - Theory of Computing (3 cr.)
• CSCE 427/4602 - Introduction to Artificial Neural Networks (3 cr.)
• CSCE 000/4604 - Advanced Machine Learning (3 cr.)
• CSCE 455/4621 - Computer Graphics (3 cr.)
• CSCE 485/4930 - Selected Topics in Computer Science and Engineering (1-3 cr.)
• CSCE 525/5221 - Algorithms and Complexity Theory (3 cr.) *
• CSCE 000/5269 - Pattern Analysis (3 cr.) *
• DSCI 000/3415 - Fundamentals of Machine Learning (3 cr.)
• DSCI 000/4411 - Fundamentals of Data Mining (3 cr.)
• DSCI 000/4412 - Introduction to Big Data Technologies (3 cr.)
• DSCI 000/4413 - Analysis of Categorical Data (3 cr.)
• DSCI 000/4415 - Advanced Machine Learning (3 cr.)
• ECNG 320/3201 - Signals and Systems (3 cr.)
• ECNG 321/3202 - Automatic Control Systems (3 cr.)
• ECNG 341/3401 - Electromagnetic Theory (3 cr.)
• ECNG 420/4301 - Fundamentals of Communications I (3 cr.)
• ECNG 421/4302 - Fundamentals of Communications II (3 cr.)
• ECNG 442/4402 - Electromagnetic Waves (3 cr.)
• MACT 000/2146 - Optimization I (3 cr.)
• MACT 305/3142 - Introduction to PDE and Boundary-Value Problems (3 cr.)
• MACT 000/3146 - Optimization II (3 cr.)
• MACT 321/3311 - Introduction to Financial Mathematics (3 cr.)
• MACT 301/3940 - Seminar in Mathematics (1 cr.)
• MACT 362/4133 - Formal and Mathematical Logic (3 cr.)
• MACT 440/4135 - Graph Theory (3 cr.)
• MACT 406/4212 - Stochastic Processes (3 cr.)
• MACT 412/4213 - Mathematical Modeling with Applications (3 cr.)
• MACT 427/4231 - Applied Regression Methods (3 cr.)
• MACT 428/4232 - Analysis of Time Series Data (3 cr.)
• MACT 429/4233 - Applied Multivariate Analysis (3 cr.)
• MACT 000/4314 - Financial Modeling (3 cr.)
• MACT 423/4321 - Long-Term Actuarial Mathematics I (3 cr.)
• MACT 424/4322 - Long-Term Actuarial Mathematics II (3 cr.)
• MACT 407/4331 - Short Term Actuarial Mathematics I (3cr.)
• MACT 408/4332 - Short Term Actuarial Mathematics II (3 cr.)
• MACT 410/4910 - Guided Studies in Mathematics (1-3 cr.)
• MACT 409/4930 - Selected Topics in Mathematics (3 cr.)
• MACT 411/4931 - Selected Topics in Actuarial Science (3 cr.)
• MACT 497/4950 - Practical Internship (3 cr.)
• MACT 495/4980 - Senior Thesis (3 cr.)
• MACT 000/4990 - Enterprise Risk Management (3 cr.)
• MENG 375/3705 - System Dynamics (3 cr.)
• MENG 341/4440 - Engineering Operations Research (3 cr.)
• MENG 466/4606 - Heat Transfer (4 cr.)
• MENG 476/4756 - Automatic Control Systems (3 cr.)
• MENG 477/4757 - Robotics: Design, Analysis and Control (3 cr.)
• PHYS 312/3013 - Theoretical Mechanics (3 cr.)
• PHYS 316/3023 - Electromagnetic Theory (3 cr.)
• PHYS 000/3071 - General Relativity and Cosmology (3 cr.)
• PHYS 421/4042 - Quantum Mechanics I (3 cr.)
• PHYS 415/4930 - Selected Topics in Physics (3 cr.)
• PHYS 507/5242 - Computational Physics (3 cr.) *

• * Following AUC’s policy of registration in 5000 level courses.