Bachelor of Science in Data Science Sample Schedule of Classes - Bioinformatics Track - 121 credits

Sep 17, 2026

Uploaded by Grenda

Sample class schedules for a Bachelor of Science in Data Science (121 credits) are provided in two tracks: Bioinformatics and Business Analytics. The plan is organized by academic terms (Fall 1 to Spring 4) and lists foundation, data science core, track-specific courses, general education, and free electives. It includes course titles such as calculus, probability, numerical methods, databases, artificial intelligence, machine learning, and track modules like cell & molecular biology, intro to bioinformatics, systems biology, or managerial accounting, business intelligence, time series forecasting, and analytics for decision making. Credit totals by term are summarized across both schedules.

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Bioinformatics Track Sample Schedule

Foundation Courses

Data Science Core Courses

Bioinformatics Track Courses

Gen-Ed and Free Electives

Term Credits Summary

Business Analytics Track Sample Schedule

Foundation Courses

Data Science Core Courses

Business Analytics Track Courses

Gen-Ed and Free Electives

Term Credits Summary

Bachelor of Science in Data Science Sample Schedule of Classes – Bioinformatics Track (121 credits) | | Fall 1 | Spring 1 | Fall 2 | Spring 2 | Fall 3 | Spring 3 | Fall 4 | Spring 4 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Foundation | Freshman Seminar 1 | Freshman Seminar 2 | Armenian Language & Literature 1 | Armenian Language & Literature 2 | Armenian History 1 | Armenian History 2 | | | | Data Science
Core | Calculus: Single Variable (4) | Calculus: Multi Variable (4) | Probability | Numerical Methods | | | | Capstone | | | Discrete Math | Introduction to Business | Linear Algebra and ODE (4) | Statistics 1 | Statistics 2 | | | | | | Intro to Computer Science | Programming for Data Science | Data Structures/ Algorithms for
Data Science (4) | Databases and
Distributed Systems | Artificial Intelligence | | | | | | | | | Physics & Chemistry in Life Sciences | Data Visualization | Machine Learning | | | | Bioinformatics
Track | | | | | Cell & Molecular Biology | Intro to
Bioinformatics | Systems Biology | Bioinformatics Elective 2 | | | | | | | | Computational Biology | Bioinformatics Elective 1 | | | Gen-Ed | Gen-Ed 1 | Gen-Ed 2 | Gen-Ed 3 | | | Gen-Ed 4 | Gen-Ed 5 | Gen-Ed 6 | | Free
Electives | | | | | | | Free Elective 1 | Free Elective 3 | | | | | | | | | Free Elective 2 | | | Total Credits | 16 | 16 | 17 | 15 | 15 | 15 | 15 | 12 | Bachelor of Science in Data Science Sample Schedule of Classes – Business Analytics Track (121 credits) | | Fall 1 | Spring 1 | Fall 2 | Spring 2 | Fall 3 | Spring 3 | Fall 4 | Spring 4 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Foundation | Freshman Seminar 1 | Freshman Seminar 2 | Armenian Language & Literature 1 | Armenian Language & Literature 2 | Armenian History 1 | Armenian History 2 | | | | Data Science
Core | Calculus: Single Variable (4) | Calculus: Multi Variable (4) | Probability | Numerical Analysis | | | | Capstone | | | Discrete Math | Introduction to Business | Linear Algebra and ODE (4) | Statistics 1 | Statistics 2 | | | | | | Intro to Computer Science | Programming for Data Science | Data Structures/ Algorithms for
Data Science (4) | Databases and
Distributed Systems | Artificial Intelligence | | | | | | | | | Physics & Chemistry in Life Sciences | Data Visualization | Machine Learning | | | | Business
Analytics Track | | | | | Managerial Accounting and Analysis | Business Intelligence | Analytics for Decision Making | Business
Analytics Elective | | | | | | | | Time Series
Forecasting | Business Analytics Elective 1 | | | Gen-Ed | Gen-Ed 1 | Gen-Ed 2 | Gen-Ed 3 | | | Gen-Ed 4 | Gen-Ed 5 | Gen-Ed 6 | | Free
Electives | | | | | | | Free Elective 1 | Free Elective 3 | | Free
Electives | | | | | | | Free Elective 2 | | | Total Credits | 16 | 16 | 17 | 15 | 15 | 15 | 15 | 12 |

FAQs

How are the sample schedules organized across the academic years?

Both tracks list courses by terms from Fall 1 through Spring 4, with credit totals summarized for each term.

What distinguishes the Bioinformatics track from the Business Analytics track?

The Bioinformatics track adds biology-focused modules such as cell & molecular biology, intro to bioinformatics, systems biology, and computational biology, while the Business Analytics track adds business-focused modules such as managerial accounting and analysis, business intelligence, time series forecasting, and decision-making analytics.

What types of courses are included in the schedules besides track requirements?

Each schedule includes foundation courses, data science core courses, general education (Gen-Ed) courses, and free electives.

Sep 17, 2026

Uploaded by Grenda