Biological Data Science (Gradu - Arizona State U

The Biological Data Science Graduate Certificate from ASU's New College of Interdisciplinary Arts and Sciences equips individuals with expertise in bioinformatics, combining biology, computing, statistics, and mathematics. The 15-credit program offers core courses in biostatistics and advanced biodata methods, along with restricted electives in areas such as Python programming and ecological applications. Graduates are prepared for careers in bioinformatics, healthcare data analysis, environmental research, and consulting.

Program Outline

Biological Data Science (Graduate Certificate) - Detailed program analysis:

Degree Overview:

Objective:

This program prepares individuals for the growing field of bioinformatics and equips them with the expertise needed in areas like healthcare, environmental research, and pharmaceutical development. It combines biology, computing, statistics, and mathematics, enabling students to analyze large biological datasets.

Overview:

The certificate offers 15 credit hours of coursework encompassing core, restricted elective, and optional units.
Core topics include biostatistics and advanced biodata methods.
Restricted electives delve deeper into areas like Python programming and ecological applications.
The program emphasizes hands-on training and equips graduates for data generation, analysis, and interpretation using diverse statistical and computational toolsets.

Overall Focus:

The program caters to:

Life scientists seeking to bolster their data interpretation skills
Data scientists interested in venturing into biological applications

Key Learning Outcome:

Bridge the gap between biology and data science.

Outline:

Structure:

15-credit program comprising diverse learning components
4 modules spanning foundational to specialized content

Modules:

Core (3 credits):

LSC 540 - Biostatistics for Biological Data Science I (3 credits)

Other Requirements (3 Credits):

Option 1:
ACO 501 - Database Systems and Problem Solving in Python (3 credits)
Option 2:
ACO 580 - Practicum (3 credits)

Restricted Electives (9 Credits):

Choose at least three courses
Option 1: Programming Fundamentals
ACO 580 - Topic: Intro to Python Programming for Problem Solving (3 credits)
Option 2: Advanced Biological Data Methods
LSC 541 - Biostatistics for Biological Data Science II (3 credits)
LSC 555 - Integrative Biology I (3 credits)
LSC 556 - Integrative Biology II (3 credits)
LSC 562 - Applied Mathematics Techniques in Biology (3 credits)
Option 3: Specific Applications
ACO 501 - Database Systems and Problem Solving in Python (3 credits)

Careers:

Careers targeted by the program include:

Bioinformatics
Healthcare data analysis
Environment-focused data research
Consulting (bio-related)

Other:

Available online with flexible enrollment
Offered by ASU’s New College of Interdisciplinary Arts and Sciences