Data Analytics Isn’t Just for IT: 5 Majors That Must Understand Data

DQLab Mini-Bootcamp. (Doc. DQLab)

In the digital age, data has become a key asset in decision-making. Not only technology companies, but almost all fields now rely on data to analyze conditions, predict trends, and develop strategies. Therefore, students from various majors are increasingly required to have a basic understanding of data analytics.

Here are five majors that greatly require an understanding of Data Analytics, along with examples of its implementation.

Management, Economics, and Accounting

Students in these fields are closely involved with numerical data, such as financial reports, sales figures, and business performance. With Data Analytics, students can analyze financial reports more accurately, forecast revenue and expenses, and measure the effectiveness of business strategies. This skill enables students not only to understand the theories learned in class but also to make data-driven decisions that are relevant and aligned with industry needs.

Communication and Marketing

In the era of digital marketing, almost all communication activities generate data, from social media engagement to advertising campaign performance. Through Data Analytics, students can analyze audience behavior, measure campaign effectiveness, and determine communication strategies based on insights from the data. This understanding makes Communication and Marketing students more competitive, as they can combine creativity with measurable, strategically accountable analysis.

Visual Communication Design (VCD)

Visual Communication Design students are not only required to be visually creative, but also able to understand audience responses to their work. Data Analytics helps DKV students analyze engagement data, such as the performance of visual content on social media, audience responses to visual campaigns, and the effectiveness of designs in conveying messages. With an understanding of data, VCD students can combine creativity with data-based insights, so that the resulting designs are not only aesthetically appealing, but also on target and impactful.

Architecture

In the field of architecture, data plays an important role in the design process and decision-making. Data Analytics can be used to analyze user needs, spatial patterns, building efficiency, and even environmental data such as lighting and circulation. Data literacy helps architecture students design buildings that are not only aesthetically pleasing but also functional, efficient, and tailored to user needs. With these skills, students are better prepared to tackle research- and data-driven design challenges in the professional world.

Computer Science and Information Systems

For Computer Science and Information Systems students, Data Analytics is an important foundation for developing data science and artificial intelligence. Its implementation includes system performance analysis, data processing and visualization, and data-driven technical decision-making. With an understanding of Data Analytics, IT students not only focus on coding skills but can also produce solutions based on insights and relevant to business and industry needs.

If you’re interested in getting started with Data Analytics without making a big commitment, you can try learning for free through the DQLab Mini Bootcamp Special Batch 10. This program is designed as an introductory, practical, and beginner-friendly course for students from various disciplines. Registration is open until February 15, 2026, so make sure you don’t miss this opportunity. Sign up now via bit.ly/MINIBCMEDIA.

English translation by Levina Chrestella Theodora

Kuliah di Jakarta untuk jurusan program studi Informatika | Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen | Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara.