Overview
Big Data and Computational Intelligence is a blend of machine learning, deep learning, applied mathematics, statistics, and computational algorithms for modern data analysis. Students in this sequence will learn to think critically about the process of modeling and analyzing large scale data in scientific and practical contexts. The students will be able to gain deep insights from big data using knowledge from statistical inference, computational processes, predictive modeling, and data management strategies. Computational Intelligence plays a major role in the development of solutions based on massive data sets to solve complex problems in various areas in industry.
Sequence Requirements
Take both courses:
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IT 166 Python Programming for Science & Data Analysis
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MAT 252 Intro to Statistics with Applications
Take a minimum of 3 courses (10-12 credit hours) from the following:
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IT 326 Principles of Software Engineering
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IT 328 Intro to the Theory of Computation
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MAT 337 Advanced Linear Algebra
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MAT 353 Regression and Time Series Analysis
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MAT 354 Nonparametric Statistics
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MAT 356 Statistical Computing
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MAT 362 Linear Optimization
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MAT 363 Graph Theory
First Year - Fall Semester (17 credit hours)
MAT 145 Calculus I (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
IT 168 Structured Problem Solving Using the Computer (4)
General Education course (3)
General Education course (3)
First Year - Spring Semester (17 credit hours)
MAT 146 Calculus II (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
IT 166 Python Programming for Science & Data Analysis (4)
General Education course (3)
General Education course (3)
Second Year - Fall Semester (16 credit hours)
MAT 147 Calculus III (BS-SMT) (4)
MAT 252 Intro to Statistics with Applications (3)
IT 179 Intro to Data Structures (3)
General Education course (3)
General Education course (3)
Second Year - Spring Semester (15 credit hours)
MAT 175 Elementary Linear Algebra (4)
IT 180 C++ Programming (1)
MAT 350 Applied Probability Models (4)
General Education (3)
General Education (3)
Third Year - Fall Semester (14 credit hours)
MAT 260 Discrete Mathematics (4)
MAT 351 Statistics and Data Analysis (4)
University-wide elective or AMALI (3)
University-wide elective (3)
Third Year - Spring Semester (13 credit hours)
MAT 355 Generalized Linear Models and Predictive Modeling (4)
IT 279 Algorithms and Data Structures (3)
University-wide elective (AMALI) (3)
Major Elective course (3-4)
Fourth Year - Fall Semester (13 credit hours)
PHI 234 Business Ethics, MKT 236 Business Ethics, Social Responsibility, and Sustainability or
IT 214 Social, Legal, and Ethical Issues in Info Technology (3)
Major Elective course (4)
University-wide elective (IDEAS) (3)
CTK 302 Computer Programming for Creatives or
IT 352 Data and Information Visualization (3)
Fourth Year - Spring Semester (15 credit hours)
IDS 398a05 Professional Practice Internship in Data Science or
IDS 388 Capstone/Directed Project in Data Science (3)
IT 348 Intro to Machine Learning (3)
Major Elective course (3-4)
University-wide elective (3)
University-wide elective (3)