Data Analytics

DEGREE LEVELS


Trocaire’s Data Analytics A.A.S. degree program prepares graduates to assume entry and midlevel management roles that oversee the identification, analysis, and interpretation of volumes of data that are collected from a wide variety of sources. Graduates of the program are prepared to identify patterns and relationships in large data sets, to resolve business questions and make data-driven decisions, and effectively communicate informed tactical and strategic business objectives. Careers include data analyst, data scientist, database administrators, and statistical assistants.

Location
Most courses and labs are offered at the college’s Extension Center at Transit Road, Lancaster, NY. Students must take the GS100 (College Seminar) course at the college’s main campus in Buffalo, NY

The AAS in Data Analytics provides students with the tools to understand big data and to enter into the rapidly growing industry of Big Data Analytics. While in the program, students will be given the foundational tools to help and organizations use the power of analytics to become more innovative and profitable. Coursework in this program focuses on the manipulation of large data sets to uncover hidden patterns, data visualization to problem solve and statistical and research methods for strategic business intelligence.

Program Format
Time of Program: Evening / Weekends

Mode of Delivery: On-site, seated

Normal Time to Completion: 24 months (two academic years)

PROGRAM STATISTICS

According to the U.S. Bureau of Labor Statistics and O-Net, the job outlook for the field of Data Science is expected to grow by 15-19% over the next ten years.

Program Requirements

Admission Requirements

High school diploma (minimum 75% average) or GED Diploma with a minimum score of 2500

General Education

Basic Communications (3) GS100* (1)**

Program Specific*

MA 120 Statistics I
DA 101 Introduction to Data Science
DA 102 Data Analysis
DA 103 SQL for Data Analysis
DA 104 Data Mining
DA 204 Capstone Experience in Data Science

Graduation Requirements:

Other

* A minimum grade of “C” (2.0) is required. ** GS100 (College Seminar) must be taken at the main campus only.

  • Statistics I
    3
  • Introduction to Data Science
    3
  • Data Analysis
    3
  • SQL for Data Analysis
    3
  • College Seminar or College Success
    1 /3

Semester 1

13

  • Big Data Architecture
    3
  • Problem Solving, Decision Making and Computer Applications in Business
    3
  • Statistical Methods in Data Science
    3
  • Logic
    3
  • General Psychology
    3

Semester 2

15

  • Project Management
    3
  • Ethics in Data Science
    3
  • Data Mining
    3
  • Data Visualization and Business Intelligence
    3
  • Research Methods: Techniques and Designs
    3

Semester 3

15

  • Biology Elective
    3
  • English Composition
    3
  • Data Analysis with R
    3
  • Advanced Data Visualization
    3
  • Capstone Experience in Data Science
    3

Semester 4

15

AAS Associate Program
Division of Arts, Sciences and Professional Studies

Trocaire’s Fundamentals of Data Analytics Certificate program are given a foundation of data science curriculum to prepare them for roles that allow them to identify, analyze, and interpret of volumes of data that are collected from a wide variety of sources. Graduates of the program are prepared to resolve business questions and make data-driven decisions, and effectively communicate informed tactical and strategic business objectives. Careers include data analyst, database administrators, and statistical assistants.

Location:
Most courses and labs are offered at the college’s Extension Center at Transit Road, Lancaster, NY. Students must take the GS100 (College Seminar) course at the college’s main campus in Buffalo, NY

The Fundamentals of Data Analytics Certificate provides students with a basis of course work to analyze data in multiple settings with courses in data mining, statistics and SQL.

Program Format
Time of Program: Evening / Weekends

Mode of Delivery: On-site, seated

Normal Time to Completion: 12 months (one academic year)

 


Resources
Program Learning Outcomes


PROGRAM STATISTICS

According to the U.S. Bureau of Labor Statistics and O-Net, the job outlook for the field of Data Science is expected to grow by 15-19% over the next ten years.

Program Requirements

Admission Requirements

High school diploma (minimum 75% average) or GED Diploma with a minimum score of 2500

General Education

Basic Communications: EN101(3) – English Composition GS100* (1)** – College Seminar Humanities: PH107 (3) – Logical Reasoning and Decision Making PH215 (3) – Logic PH2XX (3) – Ethics in Data Science Natural Sciences: Biology Elective (3) Quantitative Analysis: MA120 (3) – Statistics I Social Sciences: PSY101 (3) – General Psychology PSY320 (3) – Research Methods: Techniques and Designs

Program Specific*

BU300 (3) Project Management
DA101 (3) Introduction to Data Science
DA102 (3) Data Analysis
DA103 (3) SQL for Data Analysis
DA104 (3) Data Mining
DA105 (3) Big Data Architecture
DA106 (3) Problem-Solving, Decision-Making and Computer Applications In Business
DA200 (3) Statistical Methods in Data Science
DA201 (3) Data Analysis with R
DA202 (3) Data Visualization and Business Intelligence
DA203 (3) Advanced Data Visualization
DA204 (3) Capstone Experience in Data Science

Graduation Requirements:

Other

* A minimum grade of “C” (2.0) is required. ** GS100 (College Seminar) must be taken at the main campus only.

Semester 1

16

  • Capstone Experience in Data Science
    3

Semester 2

3