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Master's

Master of Professional Studies in Data Sciences and Applications

University at Buffalo School of Engineering and Applied Sciences 63 courses 30 total credits

About This Program

The Master of Professional Studies in Data Sciences and Applications program focuses on equipping students with the necessary skills in analytics to derive valuable insights from large and diverse datasets. Students will receive training in various data mining and machine learning techniques, enabling them to analyze and extract meaningful information from complex data effectively.

Degree Requirements

Total Credits 30 credits

Programming for Data Scientists Course

Select 1 from:

Code Course Title Credits
CDA 501 Introduction to Data Driven Analysis and Programming for Data Scientists 3
EAS 503 Programming and Database Fundamentals for Data Scientists 3
Total Programming for Data Scientists Course 3 credits

Database Management Systems Course

Select 1 from:

Code Course Title Credits
CDA 502 Database Management Systems 3
MGS 613 Database Mgmt Systems 3
Total Database Management Systems Course 3 credits

Computational Science Course

Select 1 from:

Code Course Title Credits
CDA 511 Fundamentals of Computational Science 3
MTH 537 Intro Numeric Analysis 1 3
Total Computational Science Course 3 credits

Probability Theory Course

Select 1 from:

Code Course Title Credits
CDA 531 Probability and Data Analysis 3
MTH 511 Intro to Probability Theory 3
Total Probability Theory Course 3 credits

Statistical Data Mining I Course

Select 1 from:

Code Course Title Credits
CDA 541 Statistical Data Mining I 3
EAS 506 Statistical Data Mining I 3
STA 545 Statistical Data Mining I 3
Total Statistical Data Mining I Course 3 credits

Statistical Data Mining II Course

Select 1 from:

Code Course Title Credits
CDA 532 Statistical Data Mining II 3
EAS 507 Statistical Data Mining II 3
STA 546 Data Mining II 3
Total Statistical Data Mining II Course 3 credits

Machine Learning Course

Complete:

Code Course Title Credits
CSE 574 Intro Machine Learning 3
Total Machine Learning Course 3 credits

Cybersecurity, Privacy & Ethics Course

Select 1 from:

Code Course Title Credits
CDA 551 Cybersecurity, Privacy & Ethics 3
MGS 639 Cybersecurity, Privacy & Ethics 3
Total Cybersecurity, Privacy & Ethics Course 3 credits

Applications of Data Science Course

Select 1 from: CDA 561 Major Applications (3 credits).

Code Course Title Credits
EAS 504 Applications of Data Science: Industry Overview 3
Total Applications of Data Science Course 3 credits

Electives

Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours.

Code Course Title Credits
BMI 503 Biomedical Informatics 3
CDA 500 Special Topics 1-3
CSE 526 Blockchain Application Development 3
CSE 529 Algs for Modern Computer Syst 3
CSE 531 Algorithms Anal & Dsgn 1 3
CSE 535 Information Retrieval 3
CSE 546 Reinforcement Learning 3
CSE 555 Intro Pattern Recognition 3
CSE 560 Data Models Query Lang 3
CSE 562 Database Systems 3
CSE 573 Comp Vision & Image Proc 3
CSE 676 Deep Learning 3
ECO 525 Econ of Fin Institutions 3
GEO 511 Spatial Data Science 3
GEO 514 GIS and Machine Learning 3
GGB 502 Essentials of Genetics & Genomics 3
IE 511 Social Network Behavior Models 3
IE 535 Human Cent Design for Interact 3
IE 572 Linear Programming 3
IE 575 Stochastic Methods 3
MGS 614 Systems Analysis & Design 3
MGS 616 Predictive Analytics 3
MGS 626 Data Visualization 1.5
MGS 628 Data Visualization for Business Insights 3
MGS 653 Social Network Analytics 3
MGS 655 Distribtd Computing & Big Data 3
MGS 657 Cloud Data Wrhsing & Data Engn 3
MGS 659 Web Analytics for eCommerce 3
MGS 660 Big Data Information Management: Architecture and Tools 1.5
MGS 662 Optimization Methods for Machine Learning 3
MGS 670 Health Care Analytics and AI 3
MTH 534 Basic Measure Theory 3
MTH 550 Network Theory 3
MTH 558 Mathematical Finance 3
PHY 501 Introduction to Mathematical Physics I 3
PSC 508 Basic Statistics for Social Sciences 3
PSC 534 Text as Data 3
STA 503 Introduction to Applied Statistics I 3
STA 504 Introduction to Applied Statistics II 3
STA 509 Statistical Genetics 3
STA 517 Categorical Data Analysis 3
STA 527 Statistical Analysis I 3
STA 528 Statistical Analysis II 4
STA 529 Statistical Analysis III 4
Total Electives 0-3 credits

Culminating Experience: Exam or Project

Code Course Title Credits
CDA 571 Project Guidance 1-3
Total Culminating Experience: Exam or Project 0-3 credits

Click a course code or title to read the full course description.

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