NU Pathway Courses

Track 1 – Foundation courses from WCAS Data Science:  

Data Science I (STAT 301-1 or STAT 303-1); 

Data Science II (STAT 301-2 or STAT 303-2), and 

Data Science III (STAT 301-3 or STAT 303-3) 

 

Track 2 – Three of the following courses (includes courses from the McCormick Data Science Minor): 

The Sociology of Networks; Intro to Microbiome Analysis (ANTH 490);

Introduction to Biomedical Statistics (BMD_ENG 220);

Computational Genomics (BMD_ENG 311);

Probability and Statistics for Chemical Engineers (CHEM_ENG 312); 

Quantitative Methods in Life Cycle Analysis (CHEM_ENG 367);

Computational Biology (CHEM_ENG 379);

Uncertainty Analysis (CIV_ENV 306); 

Choice Modelling in Engineering (CIV_ENV 395);

Community-based Design (CIV_ENV 398); 

Travel Demand Analysis & Forecasting (CIV_ENV 480); 

Statistics and Statistical Programming (COMM_ST 395)

Intro Programming (COMP_SCI 110); 

Data Structures and Algorithms (COMP_SCI 214);

Data Management (COMP_SCI 217); 

Intro to Law and Digital technologies (COMP_SCI 295); 

Intro to Database Systems (COMP_SCI 339); 

Introduction to Artificial Intelligence (COMP_SCI 348);

Machine Learning (COMP_SCI 349); 

Foundations of Data Science (DATA_ENG 200);

Inverse Methods (EARTH 353);

Scientific Coding in Python (EARTH 361); 

Applied Linear Algebra (ES_APPM 345);

Machine Learning: Foundations, Applications, and Algorithms (ELEC_ENG 375); 

Introduction to Statistics (IEMS 201);

Statistics (IEMS 303);

Statistical Learning for Data Analysis (IEMS 304):

Data Science and Analytics (IEMS 308);

Field Project Methods (IEMS 340);

Intro to Programming and Text Processing (LING 331);

Introduction to Computational Linguistics (LING 334);

Mechanistic Data Science for Engineering (MECH_ENG 395);

Social Dynamics and Network Analysis (MORS 457); 

Statistics and Statistical Programming (MTS 525)

Programming for Big Data (NICO 101 & 102);

Data Visualization (STAT 302);

Introduction to Statistics and Research Methodology (SESP 210)

 

Some special topics courses on aspects of data science or data science courses not yet listed here (please contact us with questions).