Course Summary

The Master’s in Big Data prepares students to manage and analyze large datasets using advanced analytical tools and machine learning. The program combines technical training with ethical considerations, equipping graduates to extract insights and sup

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Language

English/Spanish

Clock Hours

36 credits

Modality

Online/Hybrid

Duration

60 weeks of 4 terms

Program Description

The master’s program in Big Data is designed to equip students with a holistic approach toward data reasoning. It consists of core courses that focus on offering comprehensive framework that allows students to analyze large data sets by developing depth in data collection, storage, retrieval, manipulation, visualization, modeling, and interpretation. This will include extensive coursework intended to develop skills that enable students to identify patterns, correlations, and insights among different data sets.

Program outcomes

Upon completion of the program, students will:

Develop the ability to implement robust data collection methods, design efficient data storage systems, and employ advanced data analysis techniques to extract valuable insights from large and complex datasets.

Prepare students with the skills to master advanced analytical techniques, including machine learning algorithms, to identify hidden patterns, trends, and correlations within diverse and extensive datasets, enabling them to derive actionable insights for informed decision-making.

Develop advanced capabilities in designing, conducting, and analyzing impactful research and equip students with a profound understanding of the latest trends, groundbreaking technologies, and the ethical nuances.

Develop the capability to strong understand ethical considerations related to data privacy, ownership, and governance, as well as the ability to apply ethical frameworks to navigate the complexities of data ethics and compliance within the field of big data analytics.

Master project management best practices tailored to big data projects, including scope definition, resource optimization, risk management, and agile methodology.

Program Objectives

The objective of the Master of Science program in Big Data is to empower students with the knowledge and skills necessary to collect, store, analyze and use large volumes of data to drive business decisions. By mastering the fundamental concepts of data science, data management and data analysis, students gain the insights needed to uncover hidden patterns and trends within massive data sets. Through both theoretical and practical coursework, students learn how to leverage advanced analytical techniques and machine learning to derive actionable insights into complex data. The program also emphasizes ethical considerations, ensuring that students have a strong understanding of data privacy, ownership and governance.

Courses

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Admission Requirements

Domestic Student         

A completed signed and dated admission application.

Application fee $85.00 (*) made payable to San Ignacio University. (non-refundable)

Copy of high school diploma and or High School Transcripts, GED (General Education Diploma), or proof of post-secondary education. All documents and educational credentials, if they are not in English and must be translated and     evaluated by companies that are members of the National Association of     Credential Evaluation Services (NACES). For a complete list of approved     evaluation services, please visit: www.naces.org

Copy of valid Government Issued Picture Identification (upon admissions).

International Student

Completed signed and dated international application form.

Application fee $85.00 (*) made payable to San Ignacio University (non-refundable)

Financial statement or certified bank letter in English demonstrating full tuition funds available, along with living expenses capability to cover a minimum of one     year (12 months) of tuition and fees, books and supplies, living and any other necessary expenses during your studies. (Amounts must be in or converted to USD currency). A minimum of $23,000 USD

Affidavit of support form if there is a sponsor and a copy of the sponsor’s ID.

Copy of high school diploma and or High School Transcripts, GED (General Education Diploma), or proof of post-secondary education. All documents and educational credentials, if they are not in English and must be translated and     evaluated by companies that are members of the National Association of     Credential Evaluation Services (NACES). For a complete list of approved     evaluation services, please visit: www.naces.org

If a student’s native language is not English, proficiency in English must be established see below for policy.

Copy of SEVIS / I-901 Receipt https://www.fmjfee.com

TECHNOLOGY REQUIREMENTS

TEXTBOOKS INFORMATION AND COST

COST OF ATTENDANCE

The University requires all non-native English speakers to demonstrate a command of the English language that is necessary for success in college level classes taught in English.  Student taking classes in Spanish are exempt from the English proficiency exams.

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