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Decode Data, Drive Decisions
Data is the currency of the business world, and professionals who can analyze and interpret it are in high demand. With LTU’s Bachelor of Science in Business Data Analytics (BSBDA), you’ll gain the skills to transform raw data into powerful insights that drive decision-making, enhance customer experiences, and improve business outcomes.
In this program, you’ll master essential techniques such as data mining, cleansing, transformation, and modeling while building expertise in software engineering and machine learning. You’ll learn to apply data analytic methods to solve real-world challenges, from increasing revenue to optimizing operations and targeting key audiences.
Course Name
Course #
Credits
College Composition develops students’ acquisition of the fundamental principles of academic writing. This course focuses on the development of writing thesis statements and main arguments, topic sentences, transitional words and phrases, supporting paragraphs, use of evidence, essay organization, and research skills. Extensive writing and research practice is required.
COM1103
3
How information is used and managed within organizations. The use of information as a resource, developing and managing information systems, IS planning and implementation, reengineering, end-user computing, information systems strategies, network and telecommunications systems management, electronic commerce and societal and ethical issues relating to information systems design and use.
INT2103
3
Quadratic equations, functions and graphs, systems of equations, inequalities, logarithms, trigonometric functions, identities, equations. No credit after completion of MCS1224 or MCS1414. Calculus
MCS1074
4
This course provides an introduction to the role of the manager and the management process in the context of organizations and society. The focus of the course is on effective management of the organization in a changing society and on improved decision making and communication as they relate to planning, organizing, coordinating and controlling.
MGT2203
3
Total Credits:
13
Course Name
Course #
Credits
In this Introduction to Data Analytics course, students will learn and apply the fundamental concepts and tools required to effectively analyze data and make informed management decisions. This course introduces the basics of descriptive, predictive, and prescriptive analytics. This course covers the fundamentals of data analytics, such as data collection, pre-processing, visualization, and analysis techniques. Statistical techniques, including regression analysis, hypothesis testing, and clustering, will be applied to real-world scenarios. students will gain a comprehensive understanding of the role of business data analytics in organizations.
INT2113
3
Must have placement. Limits and continuity, differentiation, curve sketching, applications of differentiation, integration, methods and applications of integration, multivariable calculus. No credit after completion of MCS1414. Lecture: 4 hrs
MCS1224
4
This is an introductory course in Marketing. It examines the role of Marketing in our society and within the organization. This course will help students to identify the marketing mix components; explain the environmental factors which influence consumer and organizational decision-making processes; outline a marketing plan; and interpret marketing research data to forecast industry trends and meet customer demands.
MKT2013
3
This course introduces students to the primary aspects necessary for launching a new venture or business. Students will work in teams to develop a product or service from the planning stages to implementation that will result in a business plan. Students will also learn about the supporting functions to a start-up venture and the characteristics of a successful entrepreneur.
MKT2123
3
A historical survey that develops students’ abilities to critically engage texts of the ancient global world, placing an emphasis on the way these texts reflect their context and human experience. Readings may draw from philosophy, history, literature, visual art, and more. Class activities include reading of primary sources, seminar discussion, and writing in various genres. May be taken concurrently with COM 1103.
HUM1213
3
Total Credits:
16
Course Name
Course #
Credits
Course not found.
ACC2013
3
Natural Sciences Elective 1
BIO/CHM/GLG/
PHY/PSC xxx3
3
SSC Elective
SSC2xx3
3
Course not found.
INT2114
3
This course covers descriptive statistics, probability, and probability distributions with an emphasis on statistical inference such as confidence intervals, hypothesis testing, correlation and regression, chi-square tests, t-and F-distributions, and selected nonparametric tests.
MCS2124
4
Total Credits:
16
Course Name
Course #
Credits
Natural Sciences Elective 2
BIO/CHM/GLG/
PHY/PSC xxx3
3
Natural Sciences Lab Elective
BIO/CHM/GLG/
PHY/PSC xxx1
1
Training in a systematic method for producing effective technical communication, written reports, letters, and memos as well as oral presentations. Lecture 3 hours. 3 hours credit
COM2103
3
A historical survey that develops students’ abilities to engage texts of the modern global world, placing an emphasis on the way these texts reflect their context and human experience. Readings may draw from philosophy, history, literature, visual art, photography, film, digital media, and more. Class activities include reading of primary sources, seminar discussion, and writing in various genres. May be taken concurrently with COM 1103.
HUM1223
3
This course covers the fundamentals of database management systems (DBMS) with an emphasis on the relational database systems. More specifically, it focuses on principles and methodologies of database modelling, design and manipulation of relational databases. Additionally, this course will explore big data and NoSQL. This course emphasizes on hands-on skills. Students are required to use database applications to practice database design and manipulation through assignments and lab exercises involving the data modelling, database development.
INT2143
3
The increasing availability of technology enables companies to collect and analyze customer data. This course will discuss techniques to identify, build and maintain profitable customer relationships. We will discuss methods of optimizing customer loyalty and profitability by tailoring marketing activities based on customer data. Topics include fundamental concepts, frameworks for implementing customer relationship management, customer-based marketing metrics, introduction to essential database marketing tools, customer selection and targeting, and loyalty programs. The course utilizes a mixture of lecture/discussion and computer-based training.
MKT4053
3
Total Credits:
16
Course Name
Course #
Credits
Overview of the finance function of the firm, financial analysis, planning and budgeting, and the impact of alternative capital structures on the firm. Emphasis on understanding and utilizing present value and future value concepts.
FIN3103
3
This class is an introductory undergraduate course, and it provides a broad introduction to machine learning algorithms, principles, models and techniques. It covers topics in learning theory, dimension reduction, classification, clustering, Bayesian theory, support vector machines, neural networks, deep learning, and reinforcement learning. The course is a programming-focused introduction to Machine Learning and students will gain practical experience by conducting a project and using the algorithms and methods introduced in the course to solve real-world problems. By the end of the course, students will have developed practical skills in building learning models, deploying and evaluating their performances.
INT3043
3
This course is designed for beginners, who want to explore core concepts of computer networks. The aim of this course is to introduce fundamental concepts in the design and implementation of computer networks and the protocols such as TCP/IP, UDP and SSL. Students will learn how information is encoded into digital packets, how it is transported across local networks and how organizations interconnect over the Internet backbone. This course will emphasize the critical importance of open network standards and protocols, which allow software and hardware from a variety of vendors to inter-operate while also driving down the cost of network systems. In addition to the exploring the capabilities and limitations of today’s most popular networks, including Ethernet, Wi-Fi, and 2G/3G/4G, we’ll also cover topics closely related to networks, including security. The lab exercises are designed to be completed online or during the on-ground lab sessions, which depends upon the instructor’s guidance. No prior knowledge of computer networks is assumed.
INT3203
3
LLT Elective
LLT2xx3
3
Introduction to U.S. legal system, its role in management of business and non-profit organizations, and its relationship to the international legal environment. Topics include a survey of constitutional law in business, administrative law, contract and UCC, tort law, agency law, and intellectual property. Regulatory issues associated employment, securities, competition, consumer protection, and environmental rules are covered. Issues of ethics and social responsibility are addressed.
MGT2113
3
Total Credits:
15
Course Name
Course #
Credits
This course is designed to introduce students to the fundamentals of data mining, including methods and applications. In this course, students will learn the fundamental concepts, principles, and methods that are necessary for processing and filtering the data. Students will learn how to detect patterns and similarities in order to extract knowledge from raw data and turn it to insightful information. Topic includes data preprocessing, association mining, data classification, data clustering, and visual data exploration. The students will conduct a project of data analytics, and use the tools introduced in the course to solve real-world problem. By the end of the course, students will have developed practical skills in data mining and be able to apply them in various contexts.
INT3143
3
This course is an introduction to grounded principles and techniques of design, cognition, perception, and human-computer-interaction for visualizing data interactively. Today, the amount of digital data has grown exponentially, which poses a major challenge for business to manipulate and analyze data efficiently. To gain useful insight from business data, the visual analytics techniques have drawn attention to the public. The major goal of this course is to teach business students, typically nonprogrammers, how to use visualization techniques to analyze big data. Students will work as groups and learn a wide array of visualization methods and be able to apply the techniques to our everyday life or research problems.
INT3253
3
As networks continue to grow and as computing becomes more and more ubiquitous, today’s IT Managers need to have a thorough understanding of security and the risks associated when inappropriate security exists. Students will explore basic security concepts, principles and strategy, how to develop and manage IT security program and how to strategize and plan an IT architecture. Students will also discuss other IT security issues as it relates to current market trends.
INT4023
3
This course provides lecture, lab and studio components focused on the integrated relationship between architecture and urban design. The course conceives the city as a system of organized complexity and explores architectural and urban responses to complex multidimensional systems. Students examine critical forces and historical patterns using documentation and analysis, responding at multiple scales of building, site, neighborhood, city, and region through experimentation and synthesis. The course builds on the concepts of landscape and site from ID1, interior and daylight from ID2, and tectonics and materials from ID3, and prepares students to embrace concepts of public and community to be considered in ID5. The studio component emphasizes integrated architectural composition; the lab emphasizes exploration and experimentation with design media and other specific design inquiries in support of the studio.
INT4423
3
This course provides students with an understanding of the research methods used by marketing researchers to obtain information to guide marketing decisions. The goal is to provide students with sufficient knowledge about research methods to allow them to become familiar with the concepts and techniques used in the collection and analysis of primary and secondary data.
MKT3213
3
Total Credits:
15
Course Name
Course #
Credits
This course covers mostly hands-on topics in how to retrieve data from a relational database management systems (RDBMS) with an emphasis on Structured Query Language (SQL) queries. More specifically, it focuses on how to retrieve data from one or more tables, how to insert, update, and delete data, how to use functions, how to code summary and subqueries, and how to create and design database. Students are required to use database applications to practice database design and implementation through assignments and lab exercises and conduct a class project involving the database development and implementation.
INT3803
3
This course is the fifth in a sequence of five basic architectural design courses. This course consists of coordinated lecture, lab and studio components and focuses on the relationship between architecture and the public sphere: the varied, changing, and complex ways in which architecture influences and is influenced by people and public life. Students explore this relationship through the forces, patterns, and hierarchies that naturally define it, including matters of aesthetics, psychology, sociology, ecology, politics, and tectonics, with the aim of making sound and sustainable public design decisions. The course builds on the concepts of landscape and site from ID1, interior and daylight from ID2, tectonics and materials from ID3, urban responses from ID4, and prepares students to embrace concepts considered in Advanced Design Studios. The studio component emphasizes integrated architectural composition; the lab emphasizes exploration and experimentation with design media and other specific design inquiries in support of the studio.
INT4033
3
Course not found.
INT4413
3
Introduction to the field of operations management and relevant quantitative tools to manage cost, quality, time, and flexibility of business operations. Topics include operations strategy, manufacturing and service processes, supply chain management, lean operations, quality management and control, forecasting techniques, capacity and aggregate planning, inventory control, and project scheduling.
MGT3113
3
This course covers the options available for dealing with decisions under uncertainty. It is designed to acquaint students with basic ideas from decision theory to examine how to make better decisions. Topics include judgment and choice biases, applying statistical data, dealing with risk and decision making under risk, decision making under uncertainty, assessment of probabilities, Bayesian statistics, value of information, decisions with multiple objectives, analytic hierarchy process (AHP), game theory, dynamic programing, and well-being theory.
MGT4113
3
Total Credits:
15
Course Name
Course #
Credits
Course not found.
INT4433
3
Junior/Senior Elective
LLT/PSY/SSC 3/4XX3
3
This course is designed to provide students with the necessary skills, tools, and techniques to effectively manage a major project on time, within budget and with successful results. The course focuses on planning and control over the life of the project with an emphasis on Project Management Institute (PMI) best practices and real life scenarios. The course will cover project lifecycle planning, PERT and CPM, computer based project control tools, resource loading, scheduling, costing, and decision making in the project environment.
MGT3103
3
Course not found.
MGT4023
3
This graduate course will expose students to the digital marketing fundamentals and provide a solid foundation in the key concepts around this constantly changing field. Through a combination of readings, lectures, case studies, and course projects, students will develop knowledge of online social media and networks, mobile marketing, publishing blogs, rules of engagement, publishing podcasts, and mobile computing. Students will exit the course with a solid understanding of digital marketing tactics, tools, and social media marketing plans. The case study method of learning utilized in this course will allow students to learn digital marketing from a practical perspective. Topics include: why social media?, goals and strategies, identifying target audiences, rules of engagement for social media, publishing blogs publishing podcasts and webinars, publishing articles, white papers, and e-books, sharing videos, sharing photos and images, social networks, microblogging, discussion boards, social news, and Q&A sites mobile computing and location marketing, social media monitoring, social media marketing plan.
MKT4023
3
Total Credits:
15
Use Your Cell Phone as a Document Camera in Zoom
From Computer
Log in and start your Zoom session with participants
From Phone
To use your cell phone as a makeshift document camera
