M.S. IN COMPUTER SCIENCE – DATA ANALYTICS FOCUS

Franklin University

Master's degree

Study Discipline: Computer Science & IT

Study Programme Details

City:

Country: United States

Admission Sessions: Autumn Session, Summer Session, Spring Session

Study Format: Part Time

Mode of Study: Online

Programme Type

Master's degree

Duration

20 Months

Scholarship Available

Yes

Language

English

About this Study Course

Embark on a data-driven journey with Franklin University’s M.S. in Data Analytics. This program empowers you with the essential skills needed for statistical analysis, programming, and effective communication in the realm of big data. As industries increasingly rely on data for a competitive edge, this master’s program positions you at the forefront of this transformative field.

Overview

Organizations across sectors are in search of individuals proficient in programming, analytics, and communication to harness the power of immense data sets. The demand for data analytics professionals is soaring, expected to grow by 9%.* Data analytics jobs take longer to fill compared to other positions, signaling a high demand and a scarcity of qualified professionals.

Franklin University’s M.S. in Data Analytics meets this demand head-on, preparing you for the analytics-related jobs of today and tomorrow. The curriculum covers statistics, programming, data management, data visualization, data mining, machine learning, and advanced analytics.

Hands-on exposure to industry-standard tools is a hallmark of this program. Explore cutting-edge technologies, including Hadoop, MapReduce, Data Warehouse, SQL, No SQL, and In-memory Databases. Gain proficiency with industry-standard tools like Python and R, enhancing your marketability in the job market.

This comprehensive master’s program offers the convenience of 100% online education, delivered by expert instructors with real-world experience. Benefit from strong student support, including dedicated faculty, tutors, and advisors. The program culminates in a capstone project, providing an opportunity to integrate and synthesize your acquired skills.

Admission Requirements

Bachelor’s degree from a CHEA-recognized accredited institution with a GPA of at least 2.75.
Conditional enrollment available for applicants with a GPA of at least 2.5.
Demonstrate English Language Proficiency through citizenship, a degree from an English-speaking country, or specified language proficiency exams.

Embark on a transformative journey in data analytics with Franklin University, where theory meets application.

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