Bachelor of Science in Data Science and Artificial Intelligence

The 24-month Bachelor of Science in Data Science & Artificial Intelligence trains students in an emerging and exciting interdisciplinary field. Using scientific methods, processes, algorithms and systems, students learn to extract knowledge and insights from structured and unstructured data, and apply this knowledge across a broad range of application domains. The program is structured to provide a solid foundation in data analytics while integrating cutting-edge AI methodologies, allowing students to develop the technical expertise and strategic thinking needed in today’s data-driven world. Data science professionals are rewarded for their highly technical skill set with competitive salaries and great job opportunities at both big and small companies in most industries.

We are proud to have partnered with St. Peter’s University, a highly ranked university featuring an outstanding Department of Data Science. Founded in 1872, the university offers more than 60 undergraduate and graduate programs to more than 2,600 undergraduate and 800 graduate students. US News and World Report rated St. Peter’s among the “Top 100 Best Regional Universities in the North,” and Money Magazine called it the “Most Transformative School” in the state of New Jersey.

Students will choose between two application areas: biomedical and business. In the biomedical area, students apply data-driven methods to questions in health, medicine, and the life sciences, using data to uncover hidden knowledge within biological and clinical information. In the business and finance area, students apply these same analytical approaches to economic, financial, and organizational data, using data to uncover patterns that inform thoughtful and effective decision-making in real-world settings.

A successful data scientist displays intellectual curiosity combined with skepticism and good intuition. She is a perpetual problem-solver who creatively seeks to discover new information and a good storyteller who can present her data insights to others.

With the exponential growth of big data over the past few years, the need for data scientists becomes more and more pronounced. Companies seeking this talent represent virtually every industry. Oracle, Microsoft, Amazon, Apple, GE, State Farm, Walmart, Facebook, AT&T, Intel, IBM, Nielsen and numerous others all show up prominently in job postings for data scientists.

When searching for job postings, there are a number of related job titles, including data analyst, data scientist, data mining engineer, machine learning engineer, data architect, commercial intelligence manager, and competitive intelligence analyst.

Data scientists are often able to work from home because most of the work takes place on a personal desktop or distributed system that can be accessed remotely. In fact, the position of data scientist is considered one of the most remote-friendly jobs. The roles of data scientist, data analyst, data architect, machine learning engineer, data mining engineer and data engineer are often in such high demand that companies are willing to invest in the best talent, regardless of their location.

The average salary for a data scientist in the United States is approximately $120,000 (Indeed.com). Other popular positions in the field include:

• Business intelligence analyst (average salary $100,000)

• Data analyst (average salary $78,000)

• Data mining engineer (average salary $100,000)

• Data warehouse architect (average salary $133,000)

• Machine learning engineer (average salary $140,000)

A degree in computer science focuses on learning coding languages and how software operates. It usually leads to careers in IT or software engineering. Data science, while it includes learning coding languages, is more focused on the algorithms that detect patterns in data to predict future outcomes and answer domain-based questions.

St. Peter’s University is regionally accredited, which means that its degrees are accepted by graduate programs nationwide. Students have used the bachelor’s degree earned at SPU for admittance into master’s programs in a wide variety of institutions. For specific information about SPU’s accreditation, please see here.

This degree can be completed in as few as six semesters (24 months).