BS in Data Science Undergraduate Program By Northeastern University |Top Universities

BS in Data Science

Subject Ranking

# =175QS Subject Rankings

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

BS

Study Level

Undergraduate

The BS in data science studies the collection, manipulation, storage, retrieval, and computational analysis of data in its various forms, including numeric, textual, image, and video data from small to large volumes. The program combines computer science, information science, mathematics, statistics, and probability theory into an integrated curriculum that prepares students for careers or graduate studies in big data analysis, data science, and data analytics. The course work covers exploratory data analysis, data manipulation in a variety of programming languages, large-scale data storage, predictive analytics, machine learning, data mining, and information visualization and presentation. Data science has emerged as a discipline due to the confluence of two major events: The ability to collect, store, prune, process, and transmit large amounts of data in the cloud. The convergence of programming, statistics, artificial intelligence, and visualization as complementary tools for the analysis and understanding of data. Learning outcomes: Programmatically collect and integrate data from a variety of file, database, and web sources. Programmatically transform data into a form that is fit for analysis. Develop good programming skills and habits in R, Python, Java, C++, HTML, JavaScript, and SQL. Store data in relational and non-relational databases. Design large-scale information storage repositories for “big data” applications. Perform visual and computational analysis of data using statistical and machine-learning methods. Mine text, numeric, and time-series data using automated data mining algorithms. Apply supervised and unsupervised machine learning to complex data analysis tasks. Evaluate machine learning, data mining, and integration algorithms for space and time trade-offs. Publish data and analysis findings via web-based and narrative reports.

Program overview

Main Subject

Computer Science and Information Systems

Degree

BS

Study Level

Undergraduate

The BS in data science studies the collection, manipulation, storage, retrieval, and computational analysis of data in its various forms, including numeric, textual, image, and video data from small to large volumes. The program combines computer science, information science, mathematics, statistics, and probability theory into an integrated curriculum that prepares students for careers or graduate studies in big data analysis, data science, and data analytics. The course work covers exploratory data analysis, data manipulation in a variety of programming languages, large-scale data storage, predictive analytics, machine learning, data mining, and information visualization and presentation. Data science has emerged as a discipline due to the confluence of two major events: The ability to collect, store, prune, process, and transmit large amounts of data in the cloud. The convergence of programming, statistics, artificial intelligence, and visualization as complementary tools for the analysis and understanding of data. Learning outcomes: Programmatically collect and integrate data from a variety of file, database, and web sources. Programmatically transform data into a form that is fit for analysis. Develop good programming skills and habits in R, Python, Java, C++, HTML, JavaScript, and SQL. Store data in relational and non-relational databases. Design large-scale information storage repositories for “big data” applications. Perform visual and computational analysis of data using statistical and machine-learning methods. Mine text, numeric, and time-series data using automated data mining algorithms. Apply supervised and unsupervised machine learning to complex data analysis tasks. Evaluate machine learning, data mining, and integration algorithms for space and time trade-offs. Publish data and analysis findings via web-based and narrative reports.

Admission requirements

6+

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

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More programs from the university

Northeastern started with an innovative idea: that education is about engaging with the world to solve problems and lead change. That distinctive approach, founded in cooperative education, has created an academic culture that infuses both undergraduate and graduate studies.We empower our undergraduates to chart their own academic path, through more than 90 majors and concentrations and global experiential learning opportunities in 92 countries. Northeastern's 158 graduate programs prepare students for emerging new fields; students are able to take courses on campus, online, or in hybrid formats, creating the educational experience that best meets their needs.The university is committed to the educational success of its students, offering need-based aid and a range of scholarships to reward the outstanding achievements of students from all walks of life.For more information, please visit northeastern.edu 

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